{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e68dd396-943d-493a-bb4d-16ac9ec6609f",
   "metadata": {},
   "source": [
    "# 第二章 基于嵌入的检索技术概述"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4164d820",
   "metadata": {},
   "source": [
    "<div class=\"toc\">\n",
    "    <ul class=\"toc-item\">\n",
    "        <li><span><a href=\"#一课程notebook注意事项\" data-toc-modified-id=\"一、课程notebook注意事项\">一、课程notebook注意事项</a></span></li>\n",
    "        <li>\n",
    "        <span><a href=\"#二课程内容\" data-toc-modified-id=\"二、课程内容\">二、课程内容</a></span></li><li>\n",
    "        <ul class=\"toc-item\">\n",
    "            <li><span><a href=\"#21-系统运作原理\" data-toc-modified-id=\"2.1 系统运作原理\">2.1 系统运作原理</a></span></li>\n",
    "            <li><span><a href=\"#22-系统具体实现\" data-toc-modified-id=\"2.2 系统具体实现\">2.2 系统具体实现</a></span></li>\n",
    "        </ul>\n",
    "        </li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcfd9a78-cd9c-4dae-a91b-08cf2a0a9df0",
   "metadata": {},
   "source": [
    "## 一、课程notebook注意事项"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1646079-661e-4fd6-8b94-b1d4e7cd9159",
   "metadata": {},
   "source": [
    "- 在notebook运行的过程中，可能会弹出大量的warning。这是正常现象且并不影响后续结果，可以忽略。\n",
    "- 部分操作（如调用LLM或使用生成的数据集）可能产生不可预测的返回结果，因此输出结果可能和视频中不同。"
   ]
  },
  {
   "attachments": {
    "afa92c4d-a092-4575-aafc-7ecf3a7c7ae6.png": {
     "image/png": 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XpIV4iMP77BA2QluAILt6QnipQqtOndO3uXDJJ3VGG4aEoXWCIDviqSTp5EJJUg5DKJIU6gHDHK0Rb0t0nPijc3QPuwMLSJlSchokOmPMvPC6pwMgXDpP3BM2b3oQlUDQIbvdbXT6dLAOodLN1ILrZBHe6r/++mvb4RA3/gLzfSSSxFs1pI+BjbBJC2+CwaYeHRjEJk6cmEKCGOy8HSf+0MAxQGHPAAKRYmAJBTpnNAMMDvjhzXP8+PE2X4AwKXvicWVA+Y0ePdoSosC0co8wXQkBpC4Y/Fx9ZyVJgrwxpYDWzaWbaUWXNwY1tm6TNtoaxIU6DQX8oUk4XpIUSpPE1EyLFi1S2j0DOun3rr0JBEQIQkpdkybywhUNXjCShNaAdoMbpH79+nZ9CoQhENQjZUTdO62GKyteNH788UdL7AKBP4go2i2mlPAH8WOqyjtl5MJHu8eLEO54GaKNh9I6Acglz7rLBxou1uFAMhwIm3VWrk0haKZ4lnmOgoG8QKCc1pN80j8E0/hBknjBc+WNdok6Jt5gwBziByHBPeWJpjy9zRU8mzxnaMDwQxnRx/Iyhh+EfofF2eTNPWMQZ/of/LuwnXv3m6lXiBR+HDnFr5KkkwslSTkMXpLEWwwLQUPBvR3RSbsOl7ck3py9BAOtBTvQ3NoKCAmD9pEeWuxZSMqUAf7oHOkkA/1lhCQF+vGSJDr9V155xXbiuAt06+AlSai4AzU+bvChk+LNFVJIxxsqPIAd0zFMezHVQthMdTBwO3909HSsfAcNezpYpjJChQuZQbtC/nibDHzjxx8aFqd9YOrktddeswM3dqHCBewggng4TRmSlSSJMCALDAIMeJSxtx5IO2/bboCGWKdHejKbJLHw2pEKyoKFx24DQXqA/EAanDYACUWSvJokNK6Q/VBTOIAyQmPl2jLCFNznn3+e7hoZ/LGOhpcgygqBSHjPEsIN5ec0u7QtNiZ4p7qDAX+sdWvQoIGtV/LNAmgGfgfc8Pw7TRJpRiMXWCaBgFjwsuKmGXl5gER6QdhHS5LQykF6XVvkmUObdSRA2lmE7fJBG2btoSP6gOeF9GJPnwqxhgiGSgvAjpcf0kR6yAP+dU3SyYWSpBwGL0mi47///vvtt7HYKeQEgsE6GToF16k596jyvVNUAE0K5rhhcEU9HahKDwU3KEM6eOjxG9hRBCNJgW4C7x1JQtD88N0v3ARqj7y/0yNJvPEy2PLWjD1TV5RRsLdyL1z4aIZYw0B6GFjefvvtNJ0mHTgaEsJmOoU1T6EGBzpvpk9wCzGFgHkB0aBMsUeI1ztoBJYVcGZoJ2gDkA/8kt5AkoTbzCJJ5I31VYR54403Sp8+fQ4r40mTJtmBAjdoECANbvAPzBtlfCKm24KRJOJiMGQQxQ1tgzZyJOCPckYr6XbrIZCkwM9keDVJuHGkkTAC8+oFWlqm2dxAjLaR5/xIgICzk9Ctd6FNuhcBhOcH4uLWL/GcHGkXKMAvZIbpMaYj8Us9U98uH1wdSaKuKBvSzLMX+Nx6gTmfqnHTXLQJdo0GwpEkV1+QVOo4FNB08eJCWliDhLYs2DIDEGhG3bqpbsqSNuqWEuCWaT/IGsKz4yWLXgSGy7PAM+FeuBDd3XZyoSQph8FLknhA6fzpXJjnZj0CVx5AHmw3HYBb3PHm5Z1a4orwgPOg4441AQzaPMzOPhicHZ3Od999l0KSODLAq3IGx0uSGLzc27CL18H7Oz2SBCngTdyRAhZpEkdgvF64uBDy4DpGSCcDn5ckoeVhAHHaON7mGUCCDQ7s+nPrOygXOm8vGCDQVrn8o4mgTDMKtHuQVcLHv5ckufwwbZcZJOmLL75ICRNyi0YtEGg3iY+yhJSzKB8thUubF5lFkoiHcnJkFWHKlHLJKGhvtAk3aGeEJEF+KWeX18D8OkAsGEzdonBeYtIjBA6Ex7ovtMH485IkB6YKKXu0eSw2z2i4CM8Mzw5hlyhRwk6lOhKMPQvzqX/CZ50TBMz5RUIBTY2XOAcjSWhhIElOC3MkkuRdRE774Twznkf3THrFa8ZviDzPJnWLf+rCTQtDvtAWk1bsIFRHetnygjJzaz8RJUknF0qSchi8JCmU8OAidCZ0sgwEDIhMq3k7BEBnDJlA44RfpvAYwBjwmYqgcwgm2Dl7BnE6ReKkYwlcC5QRkhQIL0ni/BavpsHr1/s7PZLElBlTVi5MNEks4IQ4ubyEyi9vuZQ5YVKm5JVBKzAdU6dOtfETPuWOXy+RAgyQDNYuHYQT2MGiuofoOjcMZN64jgQGZsrYDcxZRZLwzxSMSzftIlBrCSCU7H5zhJIdZAyKgWUFMlOTxGJa79Zypj2OppwpUwiQ08pkhCShuXJb852EAppOp11hUXiw4wuCgfbjDm8NRZIoS0gS2iqm23jeeTkKJTwbPAdsunBpYuqQox28GhYvSeKZzyhJIm+8WBDu8ZAkFw99HHlnWhC3EDumUlmj5H3OA38juCEfaKGIizRRRm7dEAu22YCCOWEHS2t6YCMLayZ5iSUMJUknF0qSchi8JImOl0WgPNR0cuz6ojOlg3L2dCQ8gN4ByNtZMUAz6LAIET9OePgJhzcproGCvdcdVwQVe6BmJKOaJGfGlQWnLkwWRTp43QHv7/RIEgMTHZ/LH0K66QRD5TFQXHpwDwHwkk3AVAcdKG7pACEMkFDnhitl7d7EedvnSAFvGIA3U6aqiItOnsH9aEB9s+6HaUHiySqSxDo28ka6qWemJMl/MDANg7aMuNF6Mk0TbAE37RbyyeBIuCeSJDHAo3nFnrAZrALrIj1ADjjg061pCkWSaCs8i8TBImAIe0biQSvnprYIO3A9VSiEIkkIbdZpkkiPa//8DibB2j/hItQxpMLVG+E7koQ7R5KcXXp5RsPtiPCRSBLpJf5AkuTiQMgnL1fevLk84Ndr5szdb687JzwrjiSxE5X25MI5WpIEIaRPc+tElSSdXChJymHwkiS3cJsOgTUSCAs3IQg8vEyB8ZudGLgJ9qaOhoZByK1hOVrxdi50uAx8HCXgRTCSFAjXubnfXpLEIO/gdQe8v4+GJBGuI0fOLKOCHwYatzvJpYGyhLC6TpbpCDRiDkz5Yc8bOPasT2Ea0ZsHwM43p2U5FpJEXmkjbuGpI0kuHq4nmiRBhli34UgH61Uof9pdIIifKV40ZGhhKAvKM5imJDM1SaxzY0AmXARieTSA7EB63DbwYCSJwT9Qk5RRksSuL3ZmubCPlyRRFwjkAjvaP31EIJHwCma4dXa4dc8NBI46d1OUxOFIEn5YHJ5RTVJGSNKR1iR540EgIk4T5M2fy1MocW4RyodnEC0azy9gzdfxkCQ2kKDdd+vNlCSdXChJymEIJEnuA7cIYAeYd5B15xJ539KdW8Bv1oOwwwr3dHwMHkzN0fkdSeg4CNsJ95AHb5qyA0mi3NBsoOGho2QrLgSGfKIRCCbYBQp5ZrqI316QDgZ0zl9hYCINDBbUlUsj283JC/EznYYWIthWc9LlNAjkH+2gN59HAsSLgdmdDZPZJInwIOdspXcDGOtLmKZhSgthHRbCLkrWsKEt48wr2iflwbQX5pShN6/8dmt/yMuJJEkc0shA7trZ0ZIkFldT126n3pFIEnFAqmiL3jyGQjCSlBF/GSVJrItDE8SUKM+t95n23iPumXC/3dW9KADiONkkyQuItyMitB/OF3P5cM+zy4s3j87MuaNfo191hJ+DWp2WlvQeLUnCPUdk0O4JQ0nSyYWSpBwGL0nynpPkwCDDgMgAhBuEaR12POEuWIfFWz1b43HL4M1g4V2MiYTy63573XjBfSBJQl3tHQy5OnH3J5oksT2XAZq1SNgzLcSBlV7/GQF5DBzIHTCD9EDGICh00Kj8WTDKAncWbELOiJ9FrW6wDwzLkSnckX/qhnrPKLwLtxFHkgBxIQwCJ4okUR7khXUWLk7S7d7a3W+vOG2Es+ONHy2LO0/HpROwAJ7DF3HLdC4vAaGm8bw4EkniN/l2aeBTERnV1gA0XOw8dHnOiCbJkaSMIDM0SdQV5II8oyFhMwf2wJV3evC68dYR4PfxkiT8pUeS2MRBXeEukCQFgiUI7nBN/PEcBiJYmjCjnJBgfRrk2C1PoByJB1KZUTAt7fohREnSyYWSpByGI5EkHmimfdgy7t6SURmz68zbgePOPfyYs+uGTpPBioW0brcRcG7dPXD3TO2wEwTtB4MXW6jpXLwIJEl0+M5NYNjuCoFxnQgaCgevW+D9nR5Jwh2dJN+Bw56F1ZRjRjo33pYhkhBN0gUh4LwVb9wO5IvpTQ7vJB4GKwYtzt7hrCfqgjU4qOxDkRLqkwXlbqqAc2MII1h8gYBkfPPNNym7m5DMJklMH3GIIRoV2ht1zOCENixQGPRZ+MuVe6YEKRPXRoMNqmgA3MYCyA5b2I+UVvyy7skRt2AkCVAnbhcobZSdS97nKRTQMDB1yoDuyjm7kySEvLFI2e2aY5odsufKOhDOH0CbwlQ6GjjOBYPIeAd33GUXkkRcTmND3UJKKBfqzZuOYGmi/+TcMr4qwPPOGkvWG3r7LKaTeT4Jm2cd4pRe/gD2aKXoa93uVkRJ0smFkqQchoyQJMSdvstDjDBoMf0RDJAAiI47F4RBjA468G3dhe2EDocpFPyhOSEOtCjYeeElSQykDBreDof0Iy5ccKJJEmAAo0zcOhjcBuuMA0EHzpQXJBJhKom4vHF7ASFBK8HgCyFiepF1XxAR0sYA5a2LwHC4ZyByO68Y4BkkM3IQHnlmrRP5c+WX2SSJBbWc10U4Lr9owyg3Fi4j/HbizBB2cOXzfxIEYseRAW66FnAlfAZEyh53kKnAdW+B4Dlhmtn5CUWSGOzdQnoW0pJ20hgKLl3Upzs3C79IdidJDrRddwAsn1ehP3GfjQkFnle32B4NqSP63vOBiCMzSRJreZg2c+TEHSYZCqxxo126skery3T4kUgw7RLiQ3ug/VCG3m/VkQ/vgn2mjFmzBAEKBZd3+jXauyN6iJKkkwslSTkMGSVJCGeP8OZFh8KbOsQh1GF5aDr45hidAg8wAzTTUxAlR2C8RIbfbGXlkDvSgh/eSoN9eZ+Bm7hxxzQLgzadrgsrGOhMSDeC+1Dw+j8SSSLNaNjQLhAuZIkt0GgqAtPjfkMEGbidepyOkTJ3i2+dey94E2XNjdMysLUZcuYWbDN1xJsnCBUGB1Hy1XrIJ2Gw2w2tB2+0oUB+0ZS5OiQu/HpJEiA+NGgngiRRpqxhc9MaLNxm11hGAZly2j3qAzLKwOvKhCttkF2A7nMyDNChTnLGPVPFrG/yHvQYiiRxz2DvvnNH+jkqIhghIWzyC0GCqLk1X66cg5EkBtyH/bvbcEM7OBkkyQsIMtvh3YGGvOTQXgPPNwPunuca7Ylbf0Vd8P3EUGuSKBNejE4kSXKkB/JC+LTZwA/tBsbBejg0sfQ7+IOwQrrdSxrw+qGtUTZuzRF5YTotkMRQphApt42f/hINLkQpWD4xYwkBhJy+2Pt8Kkk6uVCSlMNwNCSJzpABiwEC9wzwHLDGwB8I3POWReePW97WmA5hYKGjYzEwAwCdEmte0ADQEbuF0HS0mEEQAsHATrx0DoTNgEoeiA8ihzAAeDvczCBJwH1bDG0ZYTPQ8XZMOTHFyKBGZ0xHipqdAc5txyevEB4v0fTG7wWDiltsDDlyb4/UBXXmJWXBwqBOice9OZMn/FI/dMakFaLFlXxCeJhaYBCjXvh+XLAjAADxeUkSaTxWksSgAGEhHsJBixXso6qh8krbgDi4c2eYVoO0BoKpUvJBWVCObFpgvRHTvLQjyoIrZcZ0BmQHYnIkTRLlTD2jWXEaCkgYRBai5cqYKxpR2i0DHdoUXgqoH0c0TxWSBHgpIkzKhTzTN/BpEMqCZ5xngGeeMuUlgQXTbjqV/PJpo8B+hLr1kiQ0SUw9h6p7LzJCkuhbKBP6JcKn/0Ojw7Pm2gDp9p47Rh/IeWi0F/yQB+qMpQH0O8SLoKWC9PHSRP3jFnHaJ/e8OkCmeDnguXbr66hj2iRaeW+b5LR+iDh9Du0RcoU22rUJJUknF0qSchiOhiRh7r5X5h56pjRYQBysw2LNAfPw7qAz3HPlDZ/OmsXGaFR4uN0bFMKAxPoML8nxgg6GL3s7zQrhMiDRYfF2R6fK9JT34MHMIkmAgR1S5A7Fo4Oj86I8eetkUSaDBgOhIyhcWXTNAES5uniDlSNgbRAHJro8EAdXBlbK4kgkCeCGwYI1YqTBlR1kE3LH2h+E326Ap34gP6j/XXlnJkkiL45gkEcWX3uny4IhMN9MLbqFsOzK/PLLL605wA3lTZgQIjSXrjyJk7KgHUGyGPApCwYthHQxUBNuKJIEGPBYTOvW8OEe/7QJ2idaJp4B7l05c+Iy29/5YKpb33MqkSTA4E290+7JE2VJm+clhrKAAJB39yJEeLQX6hhiEVjH3GcmSQKsn+LZdi9cpI16od6pK0g6xMQbF887dU8+8UPacA9x4sUC0osd4bh84obpVMooVL9GHO6sLdzjD/8uLbQ5ypNwaU/Y80LGtCX16ciYkqSTCyVJOQx0sKz74YHjIafTZTANBd6qID5uIS8PL1tjg3VYmKFpYQqEqR43IOAP4be750pngEqdqRC3KykUeHPl1Fo6/cAw6Yg5eNGtiyAdoXa3pQcvSYLoBZv6A4QPSUAVj3v3JuhNk/c3nT7fYkPD4X1LTQ/EQbm7j94SDuXJ2S3e6aRgwM7Z8/bMwMARDdSdS5dXCJv0UxdMkfI2jVbPHQMRSJIAAweds/tsw7GSJAZkNw0G0eFtPFTevPnyAjLLGzuDCeF4P5Ls/CBMB7Fonp17DECB5YDgn2kkzmAibZQ35pBJNEyUTTBQzmgASAduA8NFXDkzeBI2AxsvB66cg5Ek6ppT1R1JcuckZQTeE7czgyRRpqxz4wBUNxXs8ul+OyHfaIvZUMCz7H1RcOAejbHT2rjPkmQEjiThLz2SxIucyx9pCkwnGlT6r0CwwYTDdp0WCreBfhGeUdoP/SpkK5hm3Av6A5458kp/GCxMzBCeQ55lnjN2HzstnpKkkwslSTkMDG6oujmokPVGaCuO9F0vBgZID4MoAxkdCWGkB8KEdLCQ1flDk8IV4TA0Fm2TniN1JMANcnTYnDPCQOPC4s2QzpXOF/DmBsFA68KbF2txgk0RBoLOkcWcaBtYuxCKJDkQD4Ma+WBdDP5cmhDehNFwMYgTf7CBIT2gGeNTFy5cBncWCkNEjwakk3LmDZRBLzCNTMGh1cANYUMAIa5MKxA302Hk05t2OmVOdKYNEQ7ln9HB2wECQN0wQBAP0xoMdkcL2o+b0iEt5JHBJBgoC6ZQ0GChISVeJ7RTyARv/9QX7R5Sgh2kmZeL9L5Ij0aJcmGHG2GTL8JEKGfKk3RSTrRl0sLAeyRNEmVEGydvkCrqibpIry1hx5QQ035oO3hm0luP5gXtBHKIPwhQIEEOBC84TA1x5hrTQK5tOUGTST5ZJJ1e2yXNnLvknm2exWDb7oOBcmK9EP54TliYz/MWCOKg3HGPpo11UtQN/uif3JqjYIDQ0D7JC1NetAuXR37Tp/Ic0EfhNlj8wYBb6pRpcL6A4MJ04dJXQhZxwwstL4OUNW2COuJZpU2n1x4UmQclSTkQPLx0Vggd+5HAw8fD6fzQyWTUH+7oBBDn34VxrA81aWFgJBx3DQyPPIayC4Wj8eO14zfu8Rcox5NP4C130pbRjjcY8BssnYRLPN50ujJGqMNgeXBpo25DuUkPgek5lrJy7o+2nPAXrCy8+eDKfTC7YMAOIW7cuvJDiAszb7ogShAvpmbRCHD+FyTMG4dLA2GQhsB6Sg+uDp2/jII0On9HyrODS6crK8Sb9yPVh4M3DPxm1B/xuzRn1J+3fLxxBsuv18zb1rzifQ6CSTBgTlq5BksPEixN3raLv1DhKzIfSpIUCoUiBBicGBiPhoQ4oJVA08h6JadJSk9TpVAosh+UJCkUCkUIsMZv8uTJdp0L02xsdODNPyNgUbI7YoP1MUxpH8u6LoVCcfKgJEmhUChCgDUzrIFhtxQbCDiAMr11VW5ahKk21vW5DRHuVHSmbBQKxakDJUkKhUIRAiyGZnGz2x7OmVicfxO4RsR7z2/3fTx2Q+GPBbtH2iigUCiyH5QkKRQKRTpg6z/TZu7IC7b0syONQzHZKegAOWLHIrshce+2fHPODmc4ZXSRtEKhyD5QkqRQKBTpAHLDuVxsAYf0IGiHONOLM8U4t4lPVbA9HO0R52a5M3o4E4gDFL0HoSoUilMHSpIUCoXiCOCQQk7d5lwuR5IQfjtC5L2idUKDxLlA7Gg7lt1xCoXi5ENJkkKhUGQAaJQ4gJIDWlljxGnpbns/wicwOI2ZgymfeeYZewI7590oFIpTF0qSFAqFIgNgPREHA6IVYvcaJ7hzkjkHRiKffvqp/Pbbb/ZUbQiVg65DUihOXShJUigUigwAsuMlPI40eSUYIVKSpFCculCSpFAoFAqFQhEESpIUCoVCoVAogkBJkkKhUCgUCkUQKElSKBQKhUKhCAIlSQqFQpHVOCQSEx0jQwcPkad6PCmff9ZfwtZv8FsqFIrsAiVJCkUmgd1OfDF+//79KYcJBu6OUuRMHLFujX2fjz6Wm2+4Uc4+80y5+cYb5d233pboyCi/A4VCkR2gJEmhOIGIjY2VKVOmyPDhw+XLL7+U999/X9577z0ZNGiQNZswYYI9kBAoScpZoO7Xr18va9eutZ8hgRyHxiHp8UR3Q5DOkLM4udtI61b3yH///mPaBYT6oF+0jSgUJxNKkhSKE4CtW7daUsS3u/gAqvtEhRNOZMbsyiuvlKpVq8prr70m//77rxKlHATqv1atWvbE7W7dutkP4IbEoYPy1huvy1VXXG5J0mX/u1iee+Yp2bwpzFg6gqQkSaE42VCSpFAcB3bt2mW1Q02aNLGfqHBfinff9eLea+b9hEXBggXtJy527NihZOkUhqu7p556yhJhpG7dujJ79mxrHgz4WLFqpfHzpJQtXUa6duliSZV+402hyF5QkqRQHCNiYmLsB0zvuOMOOfvssy35gRDlyZNHWrVqJZ07d5ann35ann32Wenatavcc889kj9//jQk6sYbb5SePXvKli1blCidovCSJFevGSFJycYfU3J7d++WRHNlDZtCocheUJKkUBwDtm/fLn379rUkx2mHbrnlFjtQzpkzRxISEtKQHn5jht1zzz0nuXPnTiFLN9xwg7zxxhvWXnHqgbpFjpYkBVJi21wCDY8VJzIsheI0hpIkheIYwOLsUqVK2UHx3HPPlfLly8t3331nyZMbNJFAoC1gem3kyJFStmzZlLVLuXLlko8++kj27dsX1J83PC67diXImjVrZMmSJbJ06VIr/F6+fLlER0dnaNoGUrZu3Trrd8WKFXbhMSAe0rhy5UobJtNAuPnvv/+sxivUl+1dGr1pBe6ej8Ju2LDBhke4TvhQ7KZNm2ze0wNh7N6924axbNkyK1FRqbvBvPmhbOLj4/02h4OwqCvyTXpcmgiTPLIr0WHnzp02POwoX8rJ5Q93YWFhsmjRInnwwQetRpH6ZG3S6NGjrR9XP6TNEeGDxvvO+N2yZu16Y7dMVq9ea+o0eHpd+TlQTpQX5eYtS+LavHlz0HJ0YbhwuMbFxaXU8apVq1LKCzvKlfrGzsXBGjralvfjvQpFToeSJIUiHTCkBC6fZcB85JFHLDmCJBUrVkzGjh2bZgByEgoMrj/88IPcfvvtNgym6WrXri0zZsyw9vhNidf8OWRuMIuKjpHxP02Qbo8/Lnny55Pzzj9fLjr/ArnoggvlggsukGuvvdYuHh88eLDdaZUepk2bJrXNYI7/PLlzyxdffGGIQ5z88stv8lC79nLrTTfLheedLxcYOf+88+yaKxadf/zxx5YsOHjz6+SgEbdHKzFxv8yfP0969eplyeTFF18sF5o4Lz7vIrn4/Ivk0osvkSqVK9udgEuXLjEkbL8J46DPvwnHW/iLFiyU++9pLVdeeqlceslF8s5bb8u+3ftl4fxF0rPny1K4YGG55MKLpGH9+jJr5ky/LwPC8MvWLREy6odR8sC998lNN9zoKz+/XHrJ/6RmzZo2j5AOCOGPP/5oCS3le/nll0v//v1tkICdim3btpXLTHouNnXALjVI0vnnnCuXXnSxydvFcslFF8iFF5wn9evXlZmzZ6ZkZ9KkSVKtanUT7kUm/PIyceLvfhsDl14PmJqbO3euvPXWW1KxfAW5/H+XmnAvsOlCLrnkEqlYsaK88sorsmDefNnvIUu2TvgAL+zMyEFDoseMGSMlSpSw7bhSxcry99/TJCZmm2mXo6Rx4yZy9dVXp4R94YUXyhVXXCHNmjWzOzUhYwrF6QAlSQpFOmCc8pIkNDQQoltvvdWSm8suu0yeeOIJq21w8JKF9IBG5LHHHrOLuNFA3HnnnVabxBt9YLyAbeWvv/GGXGcG9nMMcTn73HOMv7PkXOP3LP/UHQM0wmDeokWLFNIVDH///bdUrVLF7q669ZZbbD6eeeZZueXmXHLOWSZsE845Z54lZ59xpnGTGj6DcaNGjax/ECyvLv1xO3cYwvaVFC9eLGXdliWFZ54t5591npx7xtkp4V90EWShjIwa9YMZx5PlgCFKZlj3BeYPfv7cedK4XgPjx4Rx1hnySMeHpc+HfaRUydKWbJx1xlk2zY0aNLBuU+APY+3qtfJ4tyfk6iuvtoSGvHsFM9IHKWCX2s8//yzff/+9FC1a1OaduoJAAUgHdXjfffelhOXKnzyRRrb4k86zjNSqXVOmTZ9m1yKRHEhSpUqVjfuzTfjFDTn91YZr4ckzQHvVp08fS8ghLbYu/OLK1Amkp0zp0jLAkLmoyEjrn/oJRpIIDz9lypSTd955Tzp2fESuu+4GY5Z2Zybi7i81hPDRRx+V1atX27AVipwMJUkKRTpgnPKSFaYlOnToYAcqBox69erZKZtjQbIZqJg+gmAh7JRjSgpzFy8kAaqwdMliaXP/vXLZJRfbwRetRd4780qNqtWlSaPG0qRxY6vlYWE4gxiDGgN6FUOC2H1HmGlxSKZP/1uqV69m3V52+WVSuFhhuePO2+ViQxDy3JnHDOBVpG6d+nJX7bpmEC1rjzZwO/UYiMk7JMymN5AkmXsIxEsv9ZRbbr1JzjFk7pyzzpKbbrheKpQtJ/WNX4hW9Wo1pETREnLtVdekEJX8efPIgAEDZJd3uswETxTz5y+QBg0a2UH8vAvOl/oNG1gNHGmCMF5hSOudt94mD7V9UBYuWODz6k/bjOnTrYYJzRjxQAKvuuoqKVi4kJSrUF4qVKooZcqVlbz588mlJhymQsuVKycPP/yw1bhA8s4//3xLksgzwlQba8xKlSkt1994o5x9lo/0XX3F1VK0UDEpW6qckbKGtJSVTp0elUUL/ccCmCRNmTRZqlaubN0XK1LUkKRffHYBiI6JNX47m3q5yKbZhn/lVVKkSBGrmatswqhg0lm0UGG56oorLUk895yz5X//u1gef7y71ShSBq4cuEJAR40fK0UNeaX+b7rpFilVqoxce831xt9lducl7Yk6rl69upQsWdJqKd10Iu2/U6dO9kwohSInQ0mSQpEOGFa8JGnevHl2UGZgYTri+eeft2tbjgVu0HJwA5kVc+9I0paILdKr1yty7dVXynmGCNxyww3y2KNdZOG8hXIo+aAkJyXJASOsRWHQevvttyVv3rx2kGdQI70zvVNPFh6SdOYZcubZPrnttlzyzJNPGYKxUPbvT5LExAOSlJQs8fEJ8vvvv0vz5s2tlor8M1AytRO4K4v0Q/6Y8iMdhH/1VVdK86Z3yy8//SS7d8Xb3VxMOSYlJklsdKwMHTJUKleoKBdBPk3YBc2A/823w0w4e+1Uo4OXJJ1liMC5551rCVthQ3S6dntUBn/1pcyYMlU2mHLYZwinw+ZNm+znP668/ApLMpgOq2kG/2HDh8nmrVtkb+J+2ZeUKHv27bVb8996520pVKiQzSNECo0h5QlJQqPj6o4ra3TiTX4fe/xxX5mb8Js2bioL5i6QA/tN+e0z5cg1ydBdlxfjPSMkaYchz6+/+bYlqBAkyF2NatXkmyFD7NoppuCs7NsvkVsjZPCXX0mVipXs9OuZZ50hV5py5zBT7zoqcMD8HjnOkCS/JulMQ6zQaOXPV0Be6/2GrFu7ztaPE9o46+hoS2gS8YO2jam3I60lUyhOZShJUijSRSpd2b9/r/w84UcpUcI3sPB2jZbGO/icKLhYY+Pi5ONPP5Ebb/LtorvtttvknXfekYjISGZNggKNFASlQIEC9q0fUsMxBG5htg8+klTDkCSrwTFE5vrrr5OXX3rJDLZRKcSEKNBr2Wtysl0T07JlyxRNGlqMP//8M00ZQJom/PyLlC5V1k4DXnn5pdLl0Udlzep1aQiPhfGG16SkA/LHH39JzVo15ZxzfdqKNm3ayJo1q409nnAosmDeAmlkSBLTc6T7fEOQqletKj+OHyd79rIoOjUdgDKKiY2T19940+TvehsuRKdlixZ2Oo5pJy/IB8IC66lTp1pNCn4oewS/nG1FWVj3Rkhdssnzk08+ad0iR9rdBiZPnmzL70xT9kWLFglKkqaYNFSuWsUQHl+4pGf69Ol2rZQXpAOBsLGgu2HDhpawnWlIdfmKFWTSlMlWe2SryQh5ZNqY6TZf/s6UW2/JJZ/26SvbYkw7wV0A8EPcvjT70oM2kIXdCkVOhZIkhSJdMFowDB40JCPGDJDvyZVXXmEHTKZiWFfiJQheMJC66TTWGTHwBhPsEMgNbplyswufTbBr12+QRzp3stqYCy4wg3vLFnan1EEz+mMfLGZICieAv2QID2/9aJNYX4MmCPjSm6pJQnPDdFjNmtXlbzMoewPlpy/3PvKAVoGTpdFsMEiiTfvggw9sXl05kJeePV8y8Z4rZ5uBumL5sjLxN896m0AYb/CgpMRk+frrr+X223OZsM+wcQwa9IUJl7CNA+MOktS4QWM5+4yzLEm67dZbZdCAgZK0n0+AQFw8iTfgbvXadXLvfffbOmO6sH79+jJzxgyrhQsGb30OGzZM8uXL5ycSPpLk1SRRLpDIgyZ9nIkFMcEdZIbjHtJDeiSJ8CnTp55+ysZJ/LS3P/74I4WgeUFqyA1X/E6cONEuNrdpNoSWNrTKEk7jwrSdQ6aNjBs3TooXL27dnHXmWfJQ24dk+X8rU7Rd3nJwIO4XXnghRZvIURbEpVDkVChJUigyiMiICHn5xZ5yHutyzACRHkliMGHLNOcftW/f3u6GYw1HMMEOYe0LB1AyMCcyhXYwWX6eMMFO+zAg5cp1q3z+uW9nFYMy9nZpsyMRHhA/xxTUqFHD+mWgR7vkNBC4nzZtqiFJVW1errvmWrv7jK3/6YG8sh2cReEQAqai2JVGfK4cIAf16tU3AztTOGfJk08+LXv2MPVlh3AjpNUn6KjcHTYrVqyU++57wIR9tiVYLzz3nOzdvcfY+DB/3jxDkhr6SdJZ0rpV6zQ77YKBhddWq2byeeMNN8inn35qyauNMAi89ckW+fvvv9+u77KEI8h0m7uiScINEkqThGuX378mT5VKlav4SVKxtAu3DWg/jRs2sum+9JJLTdt7WSK2Rvht0weaxke7Pib/u/Qymx7KbJEhmJYgMUV7INmSpBKGJDHdl+eO3DL82xGyx1PWwUA+WbBfoUIFGy5HV7C4PXDKVaHIKVCSpFBkEKz5ePG55+3CWKZ70iNJaFz++usvu/iVwcRNTwSKXcNytiEERvjNINy9e3frP8kQj0FffWmnttAkFS9RVMaMHWUGpANyIDlJEg8csNM8jiSRDicMWmicOPmb+Dmwku/Fbdu2zdohXpJ06823yGeffeZPfVqi4ODCRtvFKeGOJKFJIjznhy3zRYoUNfGeKbfcDLEbKMlJyTA3E4hLr188JImpscTEJEPWXpNzz2Z33RnycIcOsmXTZiK3YbO13UuSXnn5lSOe2wNR5cgByEDuO+6UESNGmPCMxeFZtPDmnfU2HI3AzkPKMT2SxGGSrl5DaZJwnVGSZOO9/Q6rMbvhuhvku+Hf+zxmAAdMfXw/cpQUKUo9GJKcO498N3SY7I3fnUKS2N1WvFgxGz6fRpk6Zarfd/rg2AOm8wgXbd+3335rtZ8KRU6EkiSFIoOIiY6Rt954U/538SWWWDiSFAxobGbNmmU1RNWqVbM7hEIJ28vZ/s6gw/QYi8Ed6fhi4EC7K4wBvkihgvJqr1el/6CB8uln/Sz5+PzzL+Tz/oOk/2cD7Pk9CGTn888/twu4HUkj/I4dO9qdToQNWF9C/JYk3XKr8fu5NU8PpAlBewQZCEaSxo8fb3deEe/tt90mjz/W3e5W69v/M+ln0kb6Puv3mfQ3wm/MP0P69pNBX3wpLVrcY6d/zjXCmpc5C+bbiTRk7vx50qBBfRs20rt3bxunIx++FKTFyy+/bN2S3uqmLuyU4lGAQyHd2h1IErvbXBk6kHenSTpRJInzkK4x5eubVrxNxowa47cJjZRyMD8m/DRBSpX0HXh6zjlnm7J61ZDkGOsOh+PHjpcSxYrb8EsZkjTJkCT8Mo1rz6cKAS9JYp0XZI4pVoUiJ0JJkkKRQexOSJARrFExb+WOJDGlFQoMnMnJyVbTAWkKJtj/+uuvdjqIQYfpi379+qUQjkFmAIIkMZBx3s7ZZrA787xz5exzz5NzzznfDH7ny9lnny9nnXWO1ewgDNLuSpgI00VMG3m3bB9Okgb4bUKDdCFeksTuKfLh0uwlSSzcZnrSHh1w9tlyzrnn2t9oziz5M1cWF59lhHvOZzrrrHNN2D6SVKN6DZk0dYpv8DYyd97coyZJ7MAjrUiH9u0lbMMGv01ouHwCR5IoU7R66ZEkV/aQpOOZbiM8NGBXXXmlJcjFixSTib9MDJ5BD7zl8AuL50uWTimrF198XqKj/SeUGweOJHGkROkAkpReNF6SdN111ylJUuRoKElSKDIIBi60QxALBghOy+YDt3Z9yzGCT0OwRoZvwDHA8jmL+fPn+zQzxn6AGYAwZ7rtDHY4nW3knDPs9m6IkxOIjhsM3UBt/WFvrpdfdpld77TeEATfIM3C7RmWhOCX7855T5IOBUcevCSJ36E0SWcYNxA6yBHu3bQiv20eIH4mb+eYfJ177tn2fB/v4Zh16tSxZQ4In+k2Dop0+e1lSJIjBaHgSBLxtm7d2n5uIyNw+YEkMS0FieOEa+90mwP3brrNkqS69WTOrNAkCSLy56QpfpJ0piFJqUcAEBbl+frrr8uVhiRBogoUKCg//zQBSxtCYPzBMOGXCVKqdClbVrSRl158wZIkS4JMIn4c+6PJVwlr70gSoR4pbD6JoiRJcbpASZJCcRRgnQ+fZnADPtvh2Ul2rGBxLgM34THoNGnSJEXbw1A14IuBPjszUDZq0lgW/7NEYndsk+3bt0nctlgj5hobYwSz7SnCdv+YmBjZZmR7jLEzbhnIDiSz2NsXtiNJDKC5rCbpyCQJMIgyxQYZcCTJO7CyINgtNq/MYZa//ibbTJpYD4WQtliT/u1xJu3mugOJM3kxsp18+NNL+iGRrM8CxLHAEEjWJDmS9GqvXr6t7dZFcHin20qXLm01d0cD+/kOFjgb/xcEmW4jXYgjScRVt07d4yZJaJIgSYR34403y/ffj8TShuAt71Bg0X/pUqVs/V72v0vkvXfeMm0j1k+EfJqk4sWKH0aSjoRAkjRw4EC7M1OhyIlQkqRQHAVYtMw6Gk4fZpDgZGIWAmdk0ArE7t17ZPjw71Km2vjUCYQjdcA5KEOGfO1br2QG0kJFisoPI81AGQg76gX89JiFgptuc3EfDUnyapIgTN78s9vJbi03xO7qq6+SPn0+MvappOLoQLiO1qWek3TmGT4ywo48L2EJBjQybnfabXfcLsOGD/fbBIMvPmgXy8p3mfru8+FHctttt8pZZ58h5114vnz0SZ+UNTv8xR3U88lnesgZZ/nIWyBJSpsLczX+WdjP0QyBJAlgP9yks0Ah0zZMObL2hw8o++xMWIj57cSF68z379sjXw36XPLl9U0NV6pQVn6fOEGSEjkqwed+7PgfpVjxEja9kMf0po69UJKkOJ2gJEmhOEow/cOCaAY3TntmYXaoBdwhYUapNavXysMdH7EaGdbpQFg4wDAVB2XevLn2XB9I0i25bpO+hqAdCQyASYkHZNXyVTJu7Hi7BX7c2HGyevUanwM/Mosk8QHgtg+2tdODHAz58is9DZHxr1nif6rTw7BhQ5hMmPCrjB4zRoZ/N0IWLlpg3LMayedpvp1uOzqSRJlSR7i/4sor5YWeL8rWiFDaP+KBIvlIEgclNmtyt5zD2ilDgCBJHO7pssA1kCRRLpCk2cdBkgCfdWlxTwsbJkSZIyL4LA5w4Tlx4TqsW7tK7mvdQi4471yrSWrZvKn8s3SRsfG55K+SJIXiyFCSpFAcJZKTfR+5ZfszAwUHKvI9NwZUFml7CYP3txdbwsPtcQKXmMGPN/38/nOMCBs/Vszwt3lLuPR46kkzQPs/MVLrLpk+bVbak6tNFHy41Lvgdt369dL1sW72cxp8iqNu3XoyafJka+8G1cwiSeSBacJrr7/OrjkqUqiAfDf8WzmYzBlNaaeK7G//PWc0vfv+e3LLbbnkkkv/Z9c1DR8+zFj7Uoxb1mu5ARrJCEnii/XsMoTQcnRDKUMMRo8aLfv3JfoKIgDEw9EKcTt3yhtvvSHX33SdJUjEx/fiAjVJ/tTJ0888afPLQms+HAw5Qyfl/Yc768/4PxJJws0bb7wpV155lXHDuqR88p0hjiG325ugCX1/UpIMNOWfO8+dwknqV195ubz++msS6f/YLSAlY8ePNyTJd5jksZIkNFxKkhQ5GUqSFIpjQLghOax1ueIK3+nb7HqqWLGijBo1yg5uocB3tviOWts2beTqK660gzZTdz1feNGuwUmLQ7Jv/z4ZPXZMyje2rr76GunWrbvVCqXEw+DoHyDB5s2k7VW51rzlM7heednl9iOsfJEfN5lNksDiJUukabNmNuwLL7xAmt3dRGZOnyYHknzri9LAeGWQ5STvAgULylmGDDLF9MADD/g/S4ImyUeuIEkNGjSw4SIZIUmcdcTUFaQLQopmhV1fE37+1ZJNPwdLg8joKPnCpKdUmVJyznkmPUciSSaQZ555yrdjz9Rpvjx57VomH9U9dpI0a9ZsQ4zrGPJl0mDiJw+sqQosb4c4QzSHGmJZumwpOfucs+xJ6s2bNpFFixf5Y/aB9I8ZN05JkkJxBChJUiiOAm5wQlvCLqkuXbpYosCAgabipptusmf7QJa8YAEyC5oZ+PmUA7ukGKz5av1DDz0k//27PK12yIP4hAT5ygzYd+bKJSwe5pMQdercJePHj00ZghmuIQNz5syThx/uZNJ0tW/ANmSjSaOG8s8/S/3TQj4hF8dKksCRSBKLrfmmmwv/oosvkiLFC8uQbwYf5pay+dCEcbvJ3wUcEWAISdUqle3nLpLQzPnd4e9YSBLYnbBHPv2kn+S69Tab7nPOPlfy5M4nLzzf036Kw5skzjd6sE1bufG66+Waq6+2a8auN4ST+rrg/Avkkz6fUtwWXHwkyb+GyL++7OILL5Q2998vSw1ZdCTP79KIz/2R1iSBffv4DMzXki9ffhsu2kTaD58GYVrTCz6+3O7BdnLTDTfKueeca7VIBfPlk++Hj5A9e/aklCMgfO9nSXS6TaEIDiVJCsUxgsGZM2PeffddO3Ax2CGsMeIL6ZdeemkaYV2JPS/IuGGAyZc3r3z80cdWK+UGxVCI2LJFPjLx5PWf/HzWWWfKhRedL9dce5XkzZ9HChQsIFdfda1cfNH/5Lzz+Pgs29UvlIb1G8i0qZMNqTuQMky7oXratGnHTJIgRuQjFEkCTJ+xHqp8+fK+PJtB+7zzz7M7tiivwoUL26MPKBt2jaGBgdSVL1taRo8amTKwp1ILCUmSjlR+YN269YZcvOj/7hzfWDvLENvz5ZJLqJ/LUurp4osvNiTjHDnfEI3mzZrZ08UhE2ihzjdla0mSH8TqYqYemXaFLJM2zoe6xJDDSy+9xMRxkdSrX0dmzJhu04qkfrstuCbJYe+effZr+/ny5bVuEeIgnf/73/9smrm6dEPmzj/3HClRrIgM+foriYvdbjVHthz9cVNm7gO3pPV4NEl6BIAiJ0NJkkJxnGCAYP0J32hjDRCDGETJDeRWzOBvzzkyArHg22doStC4eEmA75ffxDsCGxDPsGHfSokSxeyCaBumCZvBG7G/idtcr7zqSunQ+RFZ8s8/ciAxOU04DnyDy53InRkkCaAJmjp9mjRu0sSeVu3Kw017uXTzCZMLLrhI6jdoKBP//EP27t/nDyEtWMjuPUwyIyTJ2XHdZgjDJ30/k9x5UgmHC8uJnaI05YeGb9HiJfL9yNFS2H5m5Qw59/xz5eNPPjbFmTY+wkaTh/YMEsdaM7R+qfk7Q2rXriUzZ87w+xCrSWKKljSkR5LA3t27ZcyoUVK9RnW56JKLLUn21Tv1fZa9EgfmnDf1YNsHZM6sGbI7Ie036kinFVNmY0aNlqL+fB2PJonT3dn1qVDkRChJUiiOA27QYaBmkOSDqBwwWbt2bcmfP7/kzZtX8uTJI3nz5ZOKVSqbAbqvXXvEoJLMmUX4TTPecpOWJLk4QGLifntG0vgfx0jtu6pL7jtvsyeAo5UiLs696d61mz2ZOsEQDbt2Ji0LsyC9nAh97733Wq0Ou7/sN80yCL7WT/740vxXX32Vkr5AYMo35nbu2mW/YH/ffffZKam8pkxId14TN+G0bHmP/PzTL7I9bocksm4Jjy7dRigjpgmX/rNUunZ9VAoVKmj9eb83lxEQ3O69+wxZirWDe5kyZWy58QFg6qlw4ULS7bEuMnvOLDuFRB39/sef0rhRE8lzx51SsGAB+fqbr0x6mEJLhcs/7vH3+28TpeND7S2hzZsvtwn7TmlriMv8BfNS3DLdyTlbxMsUbdqdjQEwfhJNunfsiJOfJvxsz+oqkDefKUOT9twm7aYs0cxRNrMMOdq7O8EUGuTYF5e3fuxvU6ATf/1NGtSvb+u/efPmMnfuXL+L9MG5YCyEJ91oCZlmVE2SIqdCSZJCcQLBAMQONwgT00UJCQlW+KTJvt17JDkpKc2AlQrMWNibdoFvMEBwEvcn2vD2xptwjexN2G1P/mbnE587YbebDeKwYPzxHDpo04n7NP6Cpu1woAFz/gJ39B0GfzogECxcp1zw68qG+33GPCnZt7oqhdOZP3Y8Nz+hJEnmV5IhJ/uS9krC7njr1x00mXEQsi+GxMQDsidhnym7faZ+TJgJe0xa9klSoqFjKYkQOZCUbNyZNO+KN9cESTJlb1mb396H1HCpw2QTwF5DaBNMHREusnfvflMGuPGBeqT8XBlQPoFIDTUVvnLca/yYdmXIEGXpZM8+U48ct+B3mwIMXGDJPk0S9ebqgvYaLP5goK5x79J9NO1GoTjVoCRJocgW8I1gGSFJwA5KXiIUzHlQcwwCh93jA2nJCElKDy5VTqxz88dm0/xk+GbodyV0pPIJDRcTafbfHm1QeDzMHzep9Xc8KfTCF2raqHxl7SQtgrm3cM6xNKKkRqHIGJQkKRRZhKwamHQAzBgop1Bl5fiEtbY35o/fKX78XMMZpYQVaJ7dkV4ZKBQKJUkKhUJxGKANaUiSEz9S7O1dKkKZKxSKUxNKkhQKhUKhUCiCQEmSQqFQKBQKRRAoSVIoFAqFQqEIAiVJCoVCoVAoFEGgJEmhUCgUCoUiCJQkKRQKhUKhUASBkiSFQqFQKBSKIFCSpFAoFAqFQhEESpIUCoVCoVAogkBJkkKhUCgUCkUQKElSKBQKhUKhCAIlSQqFQqFQKBRBoCRJoVAoFAqFIgiUJCkUCoVCoVAEgZIkhUKhUCgUiiBQkqRQKBQKhUIRBEqSFAqFQqFQKIJASZJCoVAoFApFEChJUigUCoVCoQgCJUkKhUKhUCgUQaAkSaFQKBQKhSIIlCQpFAqFQqFQBIGSJIVCoVAoFIogUJKkUCgUCoVCEQRKkhQKhUKhUCiCQEmSQqFQKBQKRRAoSVIoFAqFQqEIAiVJCoVCoVAoFEGgJEmhUCgUCoUiCJQkKRQKhUKhUASBkiSFQqFQKBSKIFCSpFAoFAqFQhEESpIUCoVCoVAogkBJkkKhUCgUCkUQKElSKBQKhUKhCAIlSQqFQqFQKBRBoCRJoVAoFAqFIgiUJCkUCoVCoVAEgZIkhUKhUCgUiiBQkqRQKBQKhUIRBEqSFAqFQqHw4pBfFKc9lCQpFAqFQuGFkiSFH0qSFAqFQqFQKIJASZJCoVAoFApFEChJUigUCoVCoQgCJUkKhUKhUCgUQaAkSaFQZAFYBXvQf1UoMhmhFl4780BRKEJASZJCocgCMBIpSVJkEUKRH2ceKApFCChJUigUWQBGIiVJiixCIPkJvFcoMgglSQqFIgvACKUkSZFFCCRFgfcKRQahJEmhUGQBGKGUJCmyCKFIkTMPFIUiBJQkKRSKLAAjkZIkRRYhFPlx5oGiUIRAtiZJhw6l33q99vxOz/2R7HMqTkSeXRhHCstrfzzxnog0h8Kxho2/zE5XZoYPQsURKt700oPN8VCezM6rA7GkjSk15RnJn5PQLo8PpOHgwYPHXB5ZVY4nCsHS68zSzQtWXvHgSGUQyj5NvPw86L/y0/zISL0fKe5gyAw/pDfZn2Yn3B99TKkIGidGRwj0WPKXnZHtNUkU+L59+2TTpk2yYcMGK1FRUZKcnGw7l+3bt8v69euthIWFyZ49e6y/AwcOpPGzefPmlMrbv3+/rFu3zprjJi4uzprjJzo6OiU8/OAWfwkJCTZ8/HDFD+ZJSUmyZcuWFHN+kzZAur1pi4mJsebYx8bG2jRgt3HjxpR0E194eLh1j5BXQF537txp3RMXfrgnDfghrS4NrnwQ0unSQF53795tw0tMTJStW7daP0hERERK+ezduzclHsLbtm2bNccPYTs78koeSVt8fLxNk/NDvRCe8+PiIU7MAGlx7r3xeNONPeXh0k18xOvsIiMjbb0hlKmLh/KgzkgDZcs9cWBHenBPPJSh1w/5AJQpYTs7yoe6BoQbLK/YU8fe8iFuymfXrl22/HGPX/xgTlnQ5nCPP2885NnbhikfV0euLRCeN93UnbdeCZvwyC9xujJwflz5eMsUP7jHLi5uh2mnhLXR+Nli8uGLh3RHREfJOuMHf5SVe1YI16Wb+Nyz4m0LmOOH+gSUjytTb9smHd5nkrw5P954EPccU660BeJYT3ibN0l8gr9eE/eZMiavvuc/KirGpIvyMc/ktjjjx5eGzabN7TL1nGzSsHuvKR8Trw3PpIGwaTukz5UpQlpcPZBu8ufSTb2SbvyQN5du8rpjxw4bHvVEXgkLO29enR/sXPmQTxcP7gP90H54djAnDaTVpduVD3aE654v2oLzg9CeXfvht/ND+8EPYbn2gx19Gu5wD1w8zh/PDiAdlIkrH9KdXvtJNvWTtC9JoiIiZZM/LPzjB1CGzg/hubaNeOuBdLvy4Vnh3tqtXSexMdtMPL52H2XysGEj7cfXPzs/XF1eiYv2TLvGT2D5ED7m+HHxUD6UiSsf8uZNt4uHuvU+x/h38ZBX96wQH/e4TzpgxiLK1JitM+kO37pF9u7zpcHb/xAP964tuPwguHHxcCUeWz5GyB/1AJkMbPe0Afxw9ebH9SWA3+SJuEnvqYJsR5KomAULFsg333wj//77r63IZcuWSevWraVWrVpSr1496dWrl21cPHBfffWVNa9du7Y0atRIZs6cacPhAcLPXXfdJXXr1pVHH33UViKyZs0aqVy5srW7++67ZfDgwdach+nNN9+UqlWrSp06daR9+/ayatUq29h/+eUXGz5xNWzYUIYMGZLSkB9//HFrTjwPP/xwymC/evVqGwd2+P3kk0+sOY164MCBNg2ku1WrVjJ//vyUvD744IPWnPBeeeUV64eGNWLECBsWabvnnntk7Nix1o78tG3bVmrWrCkNGjSw5cODSEc6dOhQqV69urUjnr///tvmlUb8xBNP2HhI41NPPZVSPosWLUopN8rn008/tfHQ+F9++WVbPth1795dli9fbh+M3377TZo1a2bjadq0qQwaNMh2ojxkr776qk0zcXXp0sU+PMRDXWFOWI0bN5aPP/7YxkO6qX/iIR3Uw7Rp02z5LFmyRLp27WrjwS/p4eHjAaZMaR+UEeUxefJkGw/tiXvCql+/vq1jypOOdPjw4VKjRg0r9913n61nQJk+//zztuywe/LJJ21nwoAxceJEm0fCo3y+/vprGw9t4f3335dq1arZtJHOOXPm2PL5+eefpUWLFjbdlBPtlvZLPfTu3dummbioE9oN4ZFn0uTqgnrAHKHuKR/K9IEHHrDpJm2UaefOnW2aKYt3333XPgu0SeqEciauNm3a2HwQ1ty5c6VTp042LOStt96y5Qlocy4/999/v0yYMMGaU4fUK2kmvJ49e9oBgA7x119/lXvvvTelPVLGxMOzhDvygzzzzDP2GQeUT/PmzW38XPFDuTE4vPHGG2nK559//rHh/fnnnzYf+MGeNgPwR1ugzFz5/PXXX7xxyYr//pOnn3xCalSvZsvnzTffNnXgI+ifffaZLR/S3a5dO+uH/mjWrFm23VIGlMXnn3+eQsDpB+gPyA/1St4BbeGll16y7knb008/Lf+ZuBkER40aZfsm4iE+ypi2yIBDW6CN4ofni/ZOPKNHj7bPPPHQl3z33Xf2+aLPevHFF1Oe8R49eqSUKel+5JFHbFi0hy+++ML2m+Spf//+Nm5X3vQLYMaMGdKhQwdrTvn06dPH5oU+68MPP7T16cpn6tSpNiz6LtocfujTPvjgA5suQJw8I5QdfvFDfsjvCy+8YNOGP9eX0IbpS2j33vZD/LQ5/FA+NapVN/X4lKw1zymgPCgf4iFM6sGRLvpDzImnY8eONh7M6ecefLCtcV9Dqptn6bO+/SQmOkZ2J+yWjz74UJqYcqbceG6XLl1q46Ht8ay4eF5//XXbLxCeKx/ioX4pf8qHPp3ywpxnln7OPV/ffvuttGzZMiV9hA9oJ/Q5rg3jn+cLjBw50rY1zGl7tCfKE3JLO8MP7YFxiWeOfnPMmDEp8VSpUsU+O8RBunGHH+zubdVawszzAOiHmpu816hdS2rVqCl9PvrIkiPKlWeFuKmjJk2apOR13rx5Nq2ER9unP8QP8VBWtDn6c8qA8eRUIEvZhiRR8DygVCSNj8qmUVC4PCDY0Wkx8NHoqBA6ZNxgNmnSJPug0/jwA7Gh4qZMmWKFgRJzFx5hYc5AxMMHaDR0ZISF3ezZs+2ATSPjQcAtcRGPG+iJh7AxR+gw3NsNDZdOAXOuNFhA2hmESQNxMbC5hkQnRrwuPPKKOZ0HnShmpI3yYAABxIMfwiMe/JAGrx+EeCAUgA6WTsKFt3jxYttgiYu0EA7m5HXlypXWnIGBTpsHDDvyTVlSD5TP9OnTbX4oJzdgEg8PPvFgx0MEQSE8BibCd/F4y4fydfVN3nhjc+VDvK6OCJu8Undr1661Ztjhh47a5Yd77MgXdUzZIJAU4kEoH9fhUaZ0jISFUFYMvo4Yk1fC4+raKW1hxYoVtnxIN22BPLr2g1vMnR/ip3wY1IiDNCxcuDBFS0Bd0YZdHVE+xIPQwXjLhzQRD34gPdiRVwYE0kX50OYwc34gT4QFoSatLh43mAPaj4vHlQ+gLVD2pBs7ygozVz6kGzvqFaJMPNQ7fogDoS2RV0AHT7shLq7ES/uhzAPLhzZAeNQv+SB+BD8Af7QF14ZT2oJ5A961I06WLDLP6yR/+fy3wtTBHtuGKB/SS1yufChTysc946SBOnbPOHHiBzvqFT+AMievuCc8ni/Xl1B3PL+Yu7zSFig/8kq6sKNOaLsAP4SPOfaufKgnyj4wHkBfSFvAHKFMeLZIAwOge/ZIi+sXuELscY8deaUO8Ec/4C0fnklXPjzXmNP23YsTIE7ySFik2z3HpJu0Um7Y8Xy5foEydO0HO55R4ueZpM0QzmST38ULFkq8X7NJ+dA+XVugDboBmP6QcDCnPFz52H5hDs+Xad+mPaxdtVr2790nyUkHZNXyFTJtylT5y+SHcqfNAfo78kpYpI+wySvpduVDXKSf8icNxEeZ4od64jl27Ye8Eb5Ln6tvypUyceaUN/kHPE+UKfFTFtzTfkiHK1Pi8ZYpYwXlQ3j443mj/WDHM4UfZNaMmZYkYk66p8804+4UY2f8rF6xUhL3+8Zd2o+tB+OHPNPPkVfaAnl18dB+qGvC43ngxYwXLeycH/qU9957z9Yt+chuyDYkiUZBZfOGTOG5hufAbyeBCGXuRaC98xPMr7sPNAeh3HvFC3cfaA68frzuAn9774Ndgfd3KOAmmLsjmQfacU/jDmbuzALtQsG6Yy2AXQ+Q1m96YWDn5GgR6Ce9cJx5oJtQ7h3Ssw8MyyGUH+c+xZ4L4tZQWOGPD95wAsN092nCSw848ddPMPfphZFeHM7O2Yf67RDUjqtrO2nKIkD8aff5MwPnoWQj/ObiuwL704gz89oBe+93kyIZQGA4IJgZ8MbtdeO995ofD1yYwcILNHP3ofwE3jt43QfzE8zcixQ7Lu5nEH9eM695evC5pR9j2ilAoxEQXyCCxRXMXSAC3XjDCWUXDM7ce/UK7Zx8GRtrnx7S+kuLw8y4NZKe+2DmgfC6gTg/99xzVkuKhgniCB/ILjhpJIlCgp0z7QDrdXDsPz1kpBKOB1kdPvcZjfN40xbMf0bCPN54vUgTFj8DB7gTiBORbsJw4u6D4UTElWG4qLg64eJJ5wlFJgSZEaSbF6wsQfL/Tk9ScJhBujgsfuf96IJJg+OpI+fveP0fK7xpD5UWr5tQCOU3JHCWAacZiTstcOsakM+/74dfTgDSS8+x2h0Z5Cn0WBoYdqi4DjP399WYH1/6UkE4aKfQJPXt29dq4ZymLTvgpJAkCgQ1JVNqrClx0ywKhUKhUJwsnKiBX3FscDMUrh6yQ32cFJLEvC6LPlk8yBysNkyFQqFQKBQOzz77rN3sxDqnk8kRTgpJIsMsWEUUCoVCoVAovGADALszf/zxR7sR4mQhy0kSBEk1RwqFQqFQKEIBnsBuuIcffjjlSImTgSwjSWwDHDdunD0jgdXsCoVCoVAoFKHA+mUIEteThSwjScwrcqAjB6epJkmhUCgUCkV2R5aQJFggh1yhNnMHYikUCoVCoVAcCRxKyhlKnKWYkWOCTiSyjCRxkiwLsBQKhUKhUCgyCk7lZqkOZypm9RlKWb5wW6FQKBQKheJowDcB+RYgn1rJSmQJSdIdbQqFQqFQKI4VfPONDyG77wxmFTKdJPGRPL4qzsfwlCgpFAqFQqE4WrgPgue4NUmcrv3SSy/Z77IoFAqFQqFQnCrIEpL04osvKklSKBQKhUJx1HCzUKtXr7bHCWWlNilTSRIZY/6QeUQlSQqFQqFQKI4V3bp1k2HDhmXpJ80ynSSxdY9DJP/55x+/6YkBYXPm0ty5c+WXX36RSZMmSXh4uN/26AAnTZeXQmJ1OZVCoVAoFCcNnTt3lu+//1727NnjN8l8ZDpJgrgw3bZq1aoUldmJQGJiokybNk2qVq0qZcuWlSpVqsjXX3+dJo7A+LwqOn4fKT3YWzc4O5i+W4VCoVAoFJkHDqTOMZokR0AgIxCaEz2HSCENHjxY8uXLJxUqVJDy5ctblun9EB5fDl60aJHMmTNHVqxYIdu3b5dZs2bJlClT7MmdDhxOtWzZvzJv7gLZGLbZfmdu0YIFVju1fv16MiMHk5OPSKoUCoVCoVCcWDiFBQRp5syZWXqgZKYv3HaZO9HgI7mtW7eW4sWLS926daVEiRJSvXr1NNN6W7dulVatWlktU4cOHaRnz56WUJUrV05atGgho0aNstsKIVZdunSVmjVry5NPPiWv9eotNUxY1l3zFjLkq6/lUBYuFFMoFAqFQuGD4xFeLpEZvCIYMp0koc1h0Ta73E4U+MzJ/PnzpWjRopb0cApn5cqVpUyZMvLJJ59YewqQqb6GDRtaAlWqVCmrbapVq5b1U6xYMaldu7Zd07QlYou069BOSpcrLaXLlpbypctIzWrVpULZclKiWHGpUaOWjBw5yh+7QqFQKBRZD7d+1snpBmalkpOT/XdZg0xfk8S01iOPPHJCd7fFxcXJyy+/bElSgwYNZMaMGfLqq69KoUKFrOYI7RCAJDVq1MgSJMjR6NGjbXo+//xzKVmypJQuXdouKt8asVXatHtASpYuYQhRNRnQt5+sW7VafvjuO6lVo6aUL1dRnn76Wbv1UKFQKBSKk4HTnSR9Z8ZkFCSQpaxCppMkdrexVuhEkSSnIbr77rutRujdd9+1xwz88MMPUqBAAUuG/vjjjxSCBkmCDN177712rRHmTMOxmBxtEuYRERHyULt2UqFMaelm0kr4rKHCHBKF/8aNG9uP9CoUCoVCoch6wCWGDx+es44A2LRpk12RvmzZMr/psYPwmL5jLVHFihWlWrVq0qNHD/nss8+sZom1R5UqVbK/gVeTdN9991n/SExMjPTu3dtqoiBJkKa2bdpIBUOGenR/zK5R8pIk/DNtd6KPMVAoFAqFQpExdOrUSUaMGJGzSBJrkcaMGZNm19mxgvC2bdtmSVCRIkWs3HzzzXLNNdfIjTfeKAULFrTrju6//367K81LkiA506dPt4ULE8UdGiIIXMTWCHnowXZS1tzfVau2fD/iO9kdH293t9WtW8+4rShPPNEjyz+spzh60EYAux+WLl0q/fv3l/fff1++/fZbWbNmjbVTKBSKUxWMqePHj5e//vpL4nfuMp2e3+I0AIdJ5iiS5OA0OG4AO1awIJst/exmY00RO9YmTpxoD5P88ccf5YMPPrBTcJydxPTbhg0bLEly64/QPKFRYhccWiSuECE0Ru3bPSRlS5WWMiVLSdXKVaRVi5ZSs2ZNS8SqVKlmBtnhx51+RdYAgoymkPrjDC3qnZ2KderUkUGDBvldKRQKxakDN4YyK8OmI/q2f5f9e1qRJI7yYeYnKxdvZzpJolJZCwTBOV64qbbbbrvNTqv99NNPKQ2HQlu3bp1dk8Rutqeeekpmz55tSRK73tjy37FjRylcuLBdi4Q7FnDj17cmqb1UrlBZOj/yqDz+eA8TRikpVrSE1KheS9599wMT9345dDqulDvFADF+9tlnreZw3LhxdrE952NxmOmAAQOkfv168tYbr8le8yaSdCBJNm8JlxWrVsq+/fv8Ifh2UISFhdk1aGikaCNMv+7YsV0WLV4o02ZMN9fFVqvpQBvHzwYj2+K2yz//LrMPNNore9YWoDMzglvM+A5RVp73oVAoTl24fujDDz+0G5YY59iM5NWqMM7S10EkGNdQKnA2IGNjYF+zc+dOa88MC2uGd+3aZeOgz+Qee+6RhIQEu2CaGSG3exygraffc5ulWMqycOFCu5kKO9Lm3BI/dqxTZhkOy1fom0/0GYonGpk+3UaBDx06VDZv3uw3PXZQyGzZ/+qrryxZ4rMkXlCRTO198803MnbsWOvWaZLatWtnB9CRI0fa9Cw2gxwgjZYkPdheKhmS1PuV3uY+yvgfL0MGDzVEa66J19cAlCRlf/z222/2LYvOwz24DuyK7N//M7m7cSP54/eJst2QmY8//UTaPNhWwjyHi/Kgv/3221bryOJ/SNOSJYul++PdpFjxopKvQH4pXLSoVf3y0BMPbYtp4PYdOsjzL74gRYoVtW2OOfQnnnjCF7CfJEGOHn/8cWtOR6RQKBQZAcoAlpOgKX/ooYfkwQcftATIgTGQJSSs1XXnCObKlcuu10WLTh8IeMFj8xJEi13hCC+XjIUoHxgz582bZwkMYyRjKW6HDBli4wAoLXgZxYxwIWOkibDy589vN1IRJn0o4bD8BYVF+/btzctqffubmZyM7FRzRGvt2rU57wO3kCNWpGfGt9scAn8jNCYKFJJEQ7nnnntSGLATBxoGAxrrlJ577jnbCIK5U2RvQG44JwtiwptKIGgTvDU98MADMnDgF7ItZrtx/6l9aL0knrVnb731lu2MMF+5cqUlNGgi//77b1mwYIHtSGjXxMXDT0fw0ksvSbVq1aV3r9dl8uQp9i2tz8d9pM1998vc2XNs2BAq1hJ07drVTgln97cohUKRfUC/w85uPskF6WHXNWTGTT9BXFiGUq9ePas5ZzYFhQCEiOUHuGUc7NevnyVREyZMsNN3nDXIUhW0P2iL2rRpY9f+oIjAPaSMGRh7ZM7WrTYulrgQBporSFfLli3l6aeftl+0YLynr2zatKk1o0+ln6xRo4YlW6QNbRPrq45mjOVAaBQhOerbbe4IgJOxM4y4YbqsP6ICQxEfSBKMHJL0/PPPpzBlxakFHlZILuroUA8eWhw6jLfffkfCN2+Vvp/2sySJB9iBBxpNEmSKMNE+8nZGx+QFn7uBONHBoHJGk9S2bVtDohZae9Iw/e9p0toQ9E/69LFmvHF9/PHH1h1hKxQKRUbxyiuv2LGMFzemspo3b277Kl4QAWaQJF7eeHFz/SAve2jG+b4p2mvW7xKOI01ocyA3LBHg95NPPpmiSefFjn4OgoIGCDeEixte9iBNbI6BWAW+nEKUSCMvp2i8GGM5tseRo1D9dCiQrxy3u41C69Kly0k5Y4gK5iTuW265RZo1axayQjYbMtW8RUvJfWdek9Zusn1H3Gl5UNepDh5COhEewsCpNgcecFTA7733nu04Pv2kjzzc4SHZuiWtJsmRJNYevfvB+1KuXFl5/LGu8nLPF63GCEIEcWJBeK9evSxJ4ordvn2pc//snHzXELLuj3U37XGTiX+lcfOKfPRRH9mze69pk36HCoVCkQ54weOwZKa33DQ9/V337t1t38f45jRJaMK9u7EhQsyWOELFLAvu2ATF1BxhuqNvCIflCsy+4A6NONNo//33n1V4/P7771bDxG80W2h10LSjqWItMH0gQtoIO2/evPLll19aYscGqo8++siufzoauLGbPpedyjmKJFFpVG5WZcpLhKg8pkZQ61HBwaY2cM9ap6XL/pOZM2ebilwtiQeSlCSdgqDjYMs/b0jUdzCgDcKedW10Fp9+8om0b/egbN6U+tblnW5bvGSxfPDxR9KgYQP5YkB/GTZ0qH1InfBWw3w9hByV9GuvvS4Hk2lXNij7zb+fxo+XZnc3s+vcJvz8q7Rt007++muSz4FCoVBkAEwzcT4gxATygnACNZuQmPpirEULBJFAm84UmHc8RBv0+uuv2/6N6Tk0QPSHvDSyAxgtEWECND28JDIdh3YeQoS2nd8QIdJCP8oMEeMqJImpNfpVjtihb2TtL1fuly9fbl8kOY7nWEiSQ58+fWTy5Ml280tWIdNJkkKRlUC9y05GHtDA9kfn8P7770mLls1k7rw5durrg/c/kCYNG8mqFSutG/zQUfDQMyW2ctUq+WHUSOnwcAeZOnWyJB88YDsFCDjkn8WKhEsHwKdxXnvtNRuGN+41q1ZLr1delRee72ke8k/ljTfeMm9iCTAonygUCkUI0JewWBlyguaHA5CZ2oLE8CLHmtu+ffvanWKOJDGljx8v0By98cYbtr9CecBaJYgVCgz6LzRNTJvhjzghVbjHnA0xuIU0Yc4LIeSKJS3g008/tf0u65vc2l/6SXbJ8RKJX0gWJAkCd6wbVgiHWQJv/5rZyFSSBBhMWLvhVtUrFJkJ2hlHO3AGFqplHlo6gZkzZ1riw7Trjz+OMy59Ws6xY8ZKw3r15fXer9mOAqEDQC1sF4CzcHvNaunxVA9p1bql/D1tqn0LQwXNokU6Kd6SnCaJNzUeYK/s2rlLBn0xyHQQZaRhw8by/fc/2Ph9X1/SFwmFQpE+eCHj2Bs05W7bPH0LhAGCglbHrSeCxKCt8R5RAiBJvMRBkt588027440zBhmj0bxzrAA7w9HyED6f92JdEruF6eOIj2k21u9C1tzxA7hldy/rfyFukC/SwQwOWi7WLUVFRVmSxK65YyVJxO9F4H1mIUsWbjMvqd89U2QFeGDpRFhszc4PHlIWDrKrgkNG+/b91DygEHZfJxMVHSUDBvSXu+6qbTsJVMa8idFm+TDzxo1hsn//XkOKFlozOgw6JDoEOiMWJNIh0ElAkFjrxJsU8D3E7LRMMv4XyEMPPSidO3eSrVsjrL1CoVAcCfQjgwcPttoj1984koSg3aGv42BlyAgvgxARt5gb4IdjR5wmibXCuLvrrrukSZMmtp/kpZB+zO2UY2MJ5vRzmBMndmx04SBL4oMkuXRAiiBV7ChnBx79LeulGPshc5AkiBk72wKP78koBg4caGcLcsR0mys4t7vtRH3gVqHICCAqvBFBmOg4ONSRBd2NGjWUcePHyD5DfABtFBK0fXusXbiIsLuRtyvedvYn7rckJzn5gNU88XbGXD4qaToIp1qm88Ceh5d7h0OHDho3iTJ79kzp1q2LDBj4ud9GoVAoMgbWzdLfBBIkBDPs6HsgI/ym/3J9kxNn7sgO92je0Z7T73GPf+wB/l1f6IgT9tx73RI2cO7pGyFEhE26nT1u6ZPpJ53Z0YIX2GHDhtn4swqZrkmCscJElSQpTjboCJhz5y2Hw0Z9byM8rDzoyX5JXSPEc3ww2dfBpAVmqZ2DF77QfFcHOgbOJWnV6l5ZvGipDVehUCiOFvQ5oQhGKPNAeImNA2bBzB1cvF77YGaZBRcH2v0cdwQAbJIV+G6Bl0KRVQh8eLln1wZbUTkby70d+QgPv3F/pAeeTsG5TYWLi7+BJIn1BM8997y8+OJLsm1b2sWUCoVCcSIAyUGb48gOVy8wCyYO3t9eBLoLBeeOfjUw7hMFFq/DJyBJGUnTiUCmTre5q1P7KXIuqN0UcsCflOr22ZjH5zDyAHy2GRfC4ZcLD4GyID57D7jxGhzp3sFjzsUb7kE6AXNHCqyhs0gHHNLGJ0xYCOnFYc+EJzwu3njdfaqQBv6lloNXAsvp8HsHF3KqiUKhUGQnuL6StVEoXjKLhAVDlpAkJUg5H2mGWv6kVLnP5vDB2QefbcYlcLBHspIkpbnnj7PwILDNs0gRTap7+3F2hz0XnvC4BIs3Vcj/sZMkfvngQnb3CoVCkb3g+s3D+swsQKZPtzGtwYp6zp45GRlUnGRQ57B+Tlg8eOD4JNkvoe6PV2x4Jp0HTHpTxNy7OJhmY83SQX+eXPxewX2iX5KMOP8HEPx4/FEm3mug2HRh5/fnTU+KPXamnLFPk48kI4m+qzNPY+8X8sNjaZ9N81vJkkKhyGZw3IFNOO6IgqxCppOkzPrAreLUwd7du2XNv8tkztTJMnvKpGOSOUbmTjZXI4H3s8xvJNDP0YgLb+7kyTJ30hSPmHtPvLOnmDxMnmJkssyZ9JcVa++/zjPm842/eUbm/EVYPv+EO2/yVHvv3DoJvLdmRrzxzTESPD2k5W9fmtLkgzD/NO7+8rvzC35NfIumT5OoDevZG+zhRpYt8UOhUCiyHTi24Pvvv89ZC7fZCsiXg5Uk5WwwtKYZaw8ekoOcjrpwgex88glZXLumLC1RXJaULC6LSxczwrWElUVlMiJef6WMlLR+fVfunThzJyVlkTFHsF9i7peWKiFLShl3pcqYa2lzb8y5T5Muvz9jvtS6KW3SXtK4CwinZAnrP1VKyj/G7B/j1t3jbqlxv6SMEevP55bw3O9/jLtlJu6lpVz8vvwusWak18Rr0ru4tJGyRsqQNtx480+eSJMv3H9K+uInvCXGnHSR3oWkqUxp2VqvjiS9964cXL5CZM9eVSQpFIpsjRz5gVtI0gsvvGB3FClyLg4jSQeSZbOp8xHPPSuTK1eUBTWqy9rKlWRt1UqyulpFI+ZatbKsMrKy2pFlFe5T/FU1UsX69125d+LMfbLK3K+sVtX4T7VfY8zXWHfVjVSTNVWq+u7TpMvvz/ix9h4JDGetMVvrD2dtlSqyrkplWYe9de/c+dNk7FZXdnb+8LivbPxUqWjuTRpwXx0x5WWu66qZOKqZ8KvVMOmr7s9PYP5T733pqCrrKpMuE0d1/PvSRXrxv9L8Xl6+nEy86y6Z/t77cnDdepFkU3FKkhQKRTYFJClHnZMEmDt035RR5HAwwCKwpS1bJfz9d+U3Q5DiSheXnWVKSnyZUrKrdMljlBKyqwzhlJAdZUobKWWkpA03uPvMEvJQ2n8NZh8oh7vfWcrkJcB+Z6lU+3gjCcY8vpS5L2ncGom39sadMSffqcK9MTe/4005x1NOxr/PnSmnlLBd+L5wdmFmwo0uWlS2V6ggwiGXiabjOZjkr0BlS4rsA75yz4nOnLY8depUWbp0qT24MBT4RAcfb/3byF+TJ8myf5fZQxBDIcW9CZ8rO1I5mTplHa2/b/NtfPBtmGCX686EeJkzb65MmTolxT/pYweW4sTB1cOgQYNy3onbitMI/o6EMTZ28RKZeG8rmVyrhh3Mdx4XQUJyBkk6nCgeHh7k6HDxu4MQlS1lJSMkaaeR+DJlPOGnxke4cUa2Fism23q/Kgf37DT1pyRJkf3wySef2E9kVK5cWcqVK2c/scEp+qHwyiuv2E9gVDJS0rT3F3v2tAcbh8JLL71k3SN8EZ/Pbrzzzjv2AFoLf9/mJUk8Jf8uXy4tW90jFcyLBp/hIH18qX/+/PnWm+LEwnsieFbxi0yfbuNYco49T4/FK3II/B0JvUfEvPkyqnEjmVq3rp/MpJKAY5HUQd+EY8jSLkOWgrlzAmnYXtanbXFEI5i70OLIhJPjTb8vLY7geMmdT7NkSEsaMhMoqenBXbwlP6luU8K3Zt70+u5xm2DKDBJly8II8UKyIooXla1dO8vu/5aI7EONrSRJkb3wWq9eUrFcealQvrz9+HSXbt1k1erVftvD8eSTT0oZ85xUrlhJihUpKk89+bRs2BDmtz0czz//vCU6fEQWooPfevXq2a/lhxqMMedr+5CjisZvlUoQpEpSsmRpmTNnrioJTjBOVnlmOkni6+gcJa4Lt08D0IYRSNL8BTK6SROZVs+RJDfYH5vkFJLk5PDycPGlxgOxceJNj5ckOQkkSan2zr2PJCUYN0zlBZKkzY8+IruWLhDZy4cnlSQpshcgSZUgMRUrWi1P18fSJ0mczIw7iEvxosUMSXomXZLEulk0QGiSvBohPizLKf3BwAdk27Zta+OpWrmKVKtS1VyrSdky5VWTlEn466+/5L///rMapaxCppMkDtHT3W2nA/zsCLafCSTJCet1dpsBPuEoSI8jSOmnwzedl0q+UkmJT8y9tXfi3AX6C5Tg4fpIDdOHvvBIFyQQe5u/QH8QobJl/CSIcLArmiKE4yNgPjLp+42ZT5imxB+apN2lfNNy1k3ZUhJdophEd+ogiQtmisTHmfrz16NCkU3Qu3dvS1rQ9EBKOMGez/2EQo+nn5bS5SsYslNVihUtIU8a0rRuw4aQ1D+QJCFok1goHGpa75tvvpF6d9Wx2ioIUnYnSRxq652uOhXBB26//fbbnLW7jXOS9AO3pwOUJKUNz0nwcI+FJKVo0mw42KWSJBtGylqlYyFJ7WX/ghlKkhTHBPdCzGJnPkN1ohFIkrp27SqrVq3y2x6OJ595RspUqGhIUjUpXrykPGlI05FIEmG7NUl2Cs3EV716dfsx7MBF4nzJnnVMNXBbuYpUr1othSSVKVNO5s3LfiSJNPfs2VM+/PBDmTNnjiVNJ2sK62jh0smZiz/88EOWLt/JdJIUGxtrP0i3detWv6kiR4O2DElasEBGNW0sUxvUsdNecSHJiU98pMF3TX96zJEXRxYCSUjgfVpx8Tg5nDSl9Z9mms/vxku6UsIhPaXKGiFt3nBSxbuwOiUcI2l3u6Xm3ye+/MYb8e14S5v/ndY/v333qfHy21tOwYW0R5YsIpGdOsi++bNFEli8rSRJcXSgr//555/t2p4PPvjAzhycyB3NvViTZEhLxUpVpHTZ8vJo18dkxarVIUkP020s8GbarFixYnaNEt/9CgUvSYIgceW+YMEC8trrvSQiIu34NWXyX9K8aRM7/ef1Q3ysmZo3b57fZVpQTkdLTDLiJ6Nu0L7de++9UrRoUbv4fejQoXZBe+rHvrP3c9+hQwcZMmRIujsbTzQylSQ5ZKQCFTkEVLOSJCMunFRJQ5IMMQqVT2fuE19+Q5Gk0OXB76MgSZ0NSVowR0mS4piBpoIX4tq1a1ttDFMjaGFOxHb4YCRplSFJoXAsJInwcY84klTaPCMNGtSTJUsW+12K7N+fJIO++ELq3lVLKlQob927KbojkSQv3Lh4LGOj129GBDDNxjQVBLZVq1ZSokQJKWX6kwYNGlgNDR/ghnxk5+k40s4658zQVoZCppEkVzFeBDNT5DBQxUdBklJIS7nSEle+rMSaTiemag3ZVr2GuVaRmIrlJbac8W/C8LlPS1pSyJW9P5wUpNqnmgUzD32fljQdLj77uLKlZBtpNZ3k9irVjVSVmEoVZFu5MmnCZQG1zx+LqtPuZnO73Hz5MMTIEC5IkSNSTKXFlS9j49lWoZxEGbfhxYpItCmb7ab8iCfOpDOuXAnZXqGMRNmyIw6f/zRCmCWNW1OWEeb3mkcelvCpU2THmtWyKWyDbDTCrlRkw0Yj/t8qKqEEEsI3Or/66itp3LixHYBLlixpCQfTPH/++af9lufRDnCMG44kZXS67Vg1SbhnLVL79u2lYcOG1gytyzffDpWd8fF0bbJ2/QZp3fpemw7smzZtKnXq1LFTc0dDku655x657rrrrNx4441y0003yc033yy33nqr5MqVy8qdd94puXPntpInTx4refPmlQIFCkihQoVs2ooXL24F0kPaSRd5Z7ee27EHaSV9NWvWTEmv037hhjQjdevWtWcRceYTU6dOw5Qd4PhDVvOITJ9u4yBJ3iYocMVpgKMgSW5X1s5ypSS6eBFZk/sOCS9RXP6+5nr567IrZMoVl8vS23NJXAVDoEwYkIgjkSTvoYyWdGDHWp0UcuK3M+QGfzv8mh3CiTO/U8iUce/sd5YqZsQQJdz5p8ZSp8iIw9gZUhJWpLBMu/wKmXzp5TL9qqtlZf68EmeIUrAt/95pMt8uNJc+Xz4cSUqwV5+/2JLFZMVtt8iSW2+WmPLlZHXePDLj8ktlfYF8EmvisOk15RRTsrAsv+MWWZ73TkOWyvrDPVwI15Gk0eXMwHNXbenYuJG0aHa3NG/WVJo1ayZNkebNpXmLFtJCRcVIc9MeaBtewQxh4G/Tpo3VTjhtDAM2RIVBnKkeCMm4cePsUoyMICtJEmnG/VtvvWXTin/CecDkiQMnOZR+wq8TpX79BtYcUgEBvPvuu63bjJIk8tSvXz/7LbLu3bvbhegsEmf97kMPPWTL8P7777dpoFwhNk2aNLHlSpycGQXhgfyQbogO6YGYUs6QpiJFikjBggUlf/78llxBuJB8+fJZd5Qn+XX1RL4hZvymPNyUaVaTklAgHRwiydVJViBTSRJqO+Y79QiA0wgZJEnuVGnIQFz5irIib3757dpr5I+ypaVdrlulT+WK8s0dueT188+X4YYE/FO/roRXqSybTSe0pWo1Ca9cSSKqlDVSQbZWrCIRFStJpCFT0Ua2lS8l2yqVl61VjDtjt6VSdYmoUFm2m04kunx5Y1bR+KsiWytXlQjTIURVROtSTraadEQZ++3lysg2Qxoize9oY76tYmmJNNfwKlVlS5VKRspKdOWyEmfI3TZDTiAsM0oWl6dN+t+87BKZnvdW+fa6K+Sliy+WsYULybqa1WR91coSbuKKQLtU0YRdsYLJQ3XZUrmakaoSWbmKNYsuX8aQxhImD6Vla4XyJl9lJapyaeOmrCw3ZTbAxPHMLTfLlLp1ZL7pCP+44TpZY8jTVvNWSHjh1WrIIvOG+dmlF8vHxQvIovq1bPlDoLzl72S7Ke9wQ/Q+MR1q4QKFJa/pTHMbspont+lMc5u3Vu4NGUPcm+zJFvdmrXLyxQ287p76QbsBkXGkgUEXDQeDMATiueeesyTiaBbf9ur9mpSvWFkqVqpowiplSEXXdHe3HY8mCQ3N66+/Lq+99prUrHWXlClXQSqZvmfsj2Nl9+4EeeqJHlK+fFmTx9KGxNwnH33UR5o0bioVTR9TuVLGSRJTX3zRHuGYARQK27ZtswoFNG4shOezXoyhaOrWr19vTx5ntx0EEdLGdvh///1Xli1bZk8hX7x4sSxatMie70QaWKA9a9YsmTlzphV+s40eMgY5Iq2QKjR+lBHrygg3uy7q5oDPX375xU7tZhUyXZNERTPfqbvbThNkkCQhVkNiOs9NBYvIHxdeJJNuukF+N8SpS4H8Mu7+e2XmXdXly1tvlP433igLa9eSP66/XgadcYYMMTLq0kvkv4K5ZcqN18rPV11tSdKWsiVkwS03yoyrr5RNhjhMvPoaGex3P+6yyyTSdAbLCxSQb848U0adfbYMM+ajzz9Plt2ZS5blzyujzj1PFt9yq+w0hAjtzPSrrpK1hQvIijy3y6gzz5CvjfuhRn6/8jLZVLqI7DAkKbZcadlUvKh8d/VV8tItt8jkerVlc92qsqxOdRlqOufBhtBMz59Hhl1ysQwwfv+48nIJK1pQZpm8kq6vjAw7/wKZZ97gZt56q/x22f8kqmgBWWPiHHfOOTLjxuskrFQh+fXKS+UL4/ZlI63OPUc+vPZq+dWUy+iLL5JR55wt3xjz4WefIzNvu10WG8IzJl9uGdXoLllQt8YRSdIWM+gs69FD/lu2XLabt/vY7THmuk3itsXa+23bjWCuonIEYYPOhAkT5L777kuZBmKa54EHHpBRo0bZ3c6Qo6Nd9+JIEkQGcnK0JIn7I5EktyaJqSxIElNOzVq2lFJlykoJ86w83/N5+XH8OHnA5K2Sedkpbp7799//QL788mtp1LDJUZGkUDgWDUmgH/c7WFg7d+60eYXIsnYMzeDw4cMtEYO0ZffjAeASOeoDtxQ4DBj1oZKk0wQZJkk+LRJTZ9vMIB1hBC3Rz+aNpkX+fPJOnbtkQJ475a2LL5DRd9wow8sWk9Z33ib972kqP7ZuIm8Xyi09b71ePq1UTjrelEu+rV1HZpQvI/3/d6F8k+sG6VMgr7QuWEgGtX9IhjdvIq/kziUf579d+lWrJA1vukk+q1ZNVpiObuTNN0ofQ74GlygpXa+6RoYUKSxbalSSP8uZTrFYYRlUtYp8e0du+fD2O2REuwfls+bNpUOBgvK+IXLh1SrI1krlZUPhYjL9phtlTvGCsrJSWZmZ62YZdfllMvia62XsHbfJ5CJ3ytvXXCod8+aVofUayuj8ReQ9Q5p+KF5IptQyRPD22+UdQ3i+LF1GvsyXRyaVKSpfFc4v9116qbyYO4+MqF5L3r3jDhlQrJC8aMJrf1sumdCovswqVkQ+vuwS+diY/9G0kXxdsIB8cO1V8qdJw/Ia1SSqQgXZVvbwNUm+BeE+YRoy0hDKyM4Py75FpmPfvcvUoanAgM5VoTgSOIPn119/tetdmOZBWzFw4ECr3WBQCxywMwTbnxyS13q9LpUrVJHKhiiVNc9Jl0e7HNV027GQJLQ0Lzz/oiFEVaRcmXJyb6vW0rpVK0v6Kpp0lC9XUaZPnyHjx4+XRo0aGDMWcbPY+9hJUmYC7RT55ADMjz76yJYfdXZM9ZLFcGlkM8Aw/wdusyrdma5JQi22cuXKU+pMBsVxwHZqR0eSYs2bYXT5soYkVZIfzdtZreuvlRbXXSM9LrpQRhiyMLtyaXnv5uukwgXnS6vrrpSul58vHS86R7pdfYX0qVBGnjKk48MixWSKCWeg8fdr6aLypCFLZS66WO4xhOiRqy6TTpdeKO/efpP0rVJR2hQuIt+1aC4rKhuSZEhH72uukUFFikj3aw1ZMiRpa83KKSTpswrl5LMbb5IuJu4211wtra6+Wur871J52ZCr8KrlLUlaX6ioTDckx5Ikk54Zt9woY664XPpefqV8esX/5Nc8N8lHt1wrL5i34DEt7pEhd+aT9264Vv6qXVXmNm4g40sUl1cvvljeu/NO6WsI1tAbrpKvihaULrfeKi/lzSdfli0v/Uz6vq9WWZ6/I5c8dHsu+cX4m12imAy+7RYZVru6/NXibvm2eBHpffGFMpZ01K5hpwuPRJJ2mHqINOFYkrRQd7cpjg307UyDMIi999579mO0buEvdsfc9xtvhyBJr77mI0kVKhnCUla6HcWaJLRZx0KSmAUZP/4nqWdebCpWqGjPQWLLvy/MEvLYY4+bMMPsFNWpQJLQ4nHIJfk6VQ+VfPnll+0a5xxzTpKDkqPTCBkkSTuNMAXkFjSzgDimfAWZaN762hQrKh/d3Vh633yD9MufW2bUrSHv5r1dGt+ZS/q1binjGzeSkbVqyOgKFWRG/frye9Fi8t7/LpFXb71ZPjQkYnK1ivLCdVdLC0N4+j/QRsbUbyzfm7fBPytVlKFVq8n9xYrL9y1ayNqK5eRbQzg6XH+99CtdTj665hYZX6iEbKlXXyaYDvaxwoXkc9Pp/ZArl3yZO4+MbNZMBjZuLD3r3CVfV69iNUlbKpeTsBJFZfwN18hneXLJXJPfMNYL3VVb3itYQF659koZV/ROefvW6+VF09F+b0hS33z55R1DthabsJc3aiijTYf76mX/k4HlSsg7ZUpIq5tulB4lS8gLZUtJjzx3SudLL5XPct8hc005vX/9ddL59tvkzyaNZa5xM9HEu7pEQdlwV3UZaYhU7wvPM/Hlk/W1qqYpb6/4CBLfcfOd0o0mKbpzR0lcwDlJOxiVeGh99alQZAC8BLOzjek2vtd5Ivt8wurVu7dUMM8v022Qn86dOsmsGTNlY9hGS34Q1uxw3ADEzEuSWG/D4ujZs2en7MJD+M16IMhCMJKE5oX1OZzNw/odFklXq1JZqph0FDN9FFoy4vvpp5+kUcPGJ2S6LTNBuZyKxMgLjihA8ZKVnCLTSRIVA3Mlc0qWTgMcB0mKLldefitcRB4wg/3A+++TfiWKyTOXXCQ/li4qw2tWlmb57pSH8+WR3rfeIi9eeaV8cuutMqNBA5lUoqS8fN750vHKK+T7KhVldt2a0r9UcaljyE2nQoXl5RtvkZcvu1J+KJBfBptOtlXBQjLCEB5I0je5bpF2110nX1WpLgPvyC/vnnuBjLzkEul1zrlyjyEkX9asIT8XLChv/e9SefG226XTTTdJI2Pej+nBKuUknEXY5cvKFJO2Vy69QD7434UywhC2Ty65WF654XoZVamc/FmxqLxx8zXygiGBo1vfJz8YQvb+RZfIgPPOk4GXXiZvX3CR9L3tVvm5WUP5sEJZqWv8di6QTwbc01xeNPG0MSRpaPFi8o/JW79bbpZ7jX2/vHnkL0Ogfr3+alluSNHamlXle0PqXjn/HBlV4E5ZZ+695e0VL0mi/NEkRT3SQfYvmKUkSZEt0eu1VJKE1KxRU1o09e2qY+cXu8v4zXoViIuXJEF+2A3mduDZXZvGD+umJk6caLUSoUgSxxWw061GjRp2yzwkqUK5stKq1T12UTQaGUhSwwaNsj1JUhwbsmThNlskmXJTnAbIIEnyCoM2W/tjypWWJSWLy1clS8isBvVkZfmSMiXXjTI7X25ZV72yzCpRUL699gr5+Jpr5EdDeNazA6xKBQkvU1xm5r5NfshzuyytWtGQltLW7i/jZtAVl0ufa6+V34oVkfWVSsssE2Z/Q7pm1KslW8uXkfkF88rYO3PJ0krlZW2JIjLxxmvlq2uvliG575AvTTr+rlFFNht/MwvmkYFXXyVfGrvfTRpXVq9id8Gx8JlvqkWZsP4pVUgm3HaD9L/2Mvnu9htkTrkSJt2VJKxkMZlqyN34CuVkaZ1aEl6hjCwqVlBGXH+VfHbFxfJtkTwyt5rJh0n7f+VKysTcuWSGITqbq1eQ2cULySiTlkWmbKIrlpcVhvz9fPutMuH2m2RakdwyN/9tsqVkYYkyZGxZ0cIy9eYb5B/jJ8rkx3eUgDtaIG15O2G6jQ/cRj/SURLnzxGJ1+k2RfaD9wgAd2gj9+XLl7cCIeL6+eef2x1iXpIUzD277dAMjRkzxr7AhyJJ4I8//7DEiriZcitXuowZ016y01fAkqSGDVP8K0nKPPz222+yfPlyS06zCplOkmhIrEjXIwBOEziSNH+BjLy7kUypd9dRkaS1VSvLxMaNZEb9OrKuanlZV8WQl8oVZE21irKyRiVZUquqTK9fXxbVuUs2G/PwiuXs1v/1hizNu6um/GtIDfebKpeX/2rWkMW1a1n3Cw05CatcVpbUrCw/NW0gM+vXlogKZWVDlYqyqFZ1WWFIz5aKZWVttUoy34Qzo14dmdikscyuW9uSpNUm/rkmLKbRCGtV9aopJCnOpD3KEJ/11crJ8lqVZE79GrKwbnVZXruqrDUkiXiWm3xNrV/PxFXDxrPehLe0djWZV6e6/N2wliy6q5psMsRmnUnPfzUq2/jCqpQzZKySLDDpWWniQ2O10dj/W7OadbOiRnmT/jL2yIOtnNNk3rQ3mDIJq1rBHlkQeFilt7zdEQxu4XZ0p4eVJClOKE7UzAHhQJIKFy5sjxngMEXvkRDuHnLDguTIyEj7yQ3OA3LuA/1gzjQcmid2fD322GMpbq41L1WvvPKKJUkHTYe2MyFe2j3UzhdO7jxSumQp+eH7kZIQ7/s0xujRoy1B4igEFz5b7RUnHl26dMmZH7hlMZ/ubsvhMP1hSp9orpELFsiYuxvLNEN2vNNqKYO0Ee/AfaLFTecdtZQtJXFlDfnxLyjfbkgE4WHHyd+xbPvH3H94Y2q+fIdK8jHZbWVLWLeWHJrf3g/NZp74D8fMoLh070ghSe0NSeIDt4YkGY5kya5CcbJBOzx4SGbNmG232n/e/zMZ0L+fvaI16m+u/bn//DP58qsvZP6CuWYAjZcpkybJoAEDjbv+xv5w+eyzz+w3wNBKcEAhp4EPGDDA2vXt29eSHO9AzNlCrEHCH8QqKioqhQRyFMGwYcNSwv7yyy/1W6WZBBQufPomR5EkGtO7775rD8FSnCYwfYedbmvSSKbWuyvNoIxkZ5IUZ0gDBMmRJO4JD7sjkqTSxSXOiM9d9iZJOyijUvhRkqTIxqAdGrHKTdolC48PsmOOG2PmM7SSfJDt7HxG46Bxi7vUXXVcg4mzY0FzMDuHjNh5fwe6UZwYcDJ5jjonCdD42O1wqq+qVxwd0CSNvruR/G1Iko9E+L5VFm/Ix/GQmIwK03e+b58dLr61OgFi0hX4+RCXbp8bczVkxPcNN+PW3Nt4uDfmXDnOwMlOm0+/vzThZRfxLNy2JIk1SbMNSdrlG3O0j1ecBNDsgjY/DI7QJn3ExEeYQjnOKHkJ5i6UmZPgwFwfqBMFNH7sOMzK850ynSSBrMqMIpvAVLd3us03KPtIkiMN2Y0kpZKeQDLhI0n222qQJEMu7DfXPKQqvizffPORJBZx+0gSecUf4QeGmR3EkLtSxWyefQu3OyhJUpx00OyOlST5kGGHWQTSog/UqYxMn27jmzTsINA52pyNNF2B+RO5cKGMbnq3TKlX105d2WkrP8nwTbeFJjEnQiA3XtLk5HASlFa8H5t104JuatAXBuGa8MuaeDxuU9z7w3BmWSc+jVZGxUfqfJ8l2VqiuER06ij7FnJOkpIkRXZGmp4m4C4VzjxQAt1lHgJTkHUx52TwfTuObMhKxUumkyS+CaO723I+XJdgm675s3XBAvmhCbvbUkkSGhffNI9vZ1UwcnOi5FhIkiM9Vmz6/MTHT5LQHDmSxK4wa1aKPPn9+8Nw99bMfx9ofuLl+EhSdNdOcmDpfCVJimyOND1NwF0qnHmgBLrLPASmIOtizsl488037advctwHbh999FElSacTTH+wbckS+fWeFjK5Vg07iKeSCUOSDFmyhCnI4H3iJJW8ZFTSkKKSfo3XYeQjNdzDCJHz6zHzTeOlkqrsIi7tsYYobSxRVCJ7PifJMeEiB/b5+nPt0xUKRTZDp06d7Ad5c9wRAKxI//fff/2mihwPBlhDjsPfeUt+q1xRdpQy5MIMyBClnUep8Th2OT6SlKLtOgJJ8hKlQJKEXXYnSZGsR6pYTpI/6yOye7uSJIVCkW3xyCOP5DySxGmmf//9t8TGxvpNFTkTjKp+tTI/E5MkYuEimfDww/Yk6I3lyvjPDyplD2FkG312FHtApCd9ceUQk+ayvnRvMxJTvpxEczV228pzmKNPYipgh/9yRsp6wiprxHf2UuaJiydjQj7CSxaV+ZXLyn+9nhdZZV5ikpN5aKlMhUKhyDZwa5Bee+01mTBhQs6ZblOcTgggSQfMgBu7XWTyZEl44D5ZUaSQrM17u2wokEfCCuSTDfnzZroQz7FI2nBMevPnNuZ5ZHORghJerIhsKlZUwszv9QXzyfoCxg1XI+sKGbH+8xtx4aTeh+UzacoE2Wji2Vggv0ljgQzLWuMnsmxJSe75rMj86aauokz1mfrTozoUCkU2gyNJ4eHh9oT0rDxSKNNJEucZcLw7p5q6jCpOIxiydCA2TuJXrZS4aX/J1gljZee4kbJz/EjZNX6U73dmCOH/OCrDsvPH0bLjxzGyI0iadhiJM+ZL+/eVD1u2kM8ffkTCx+B+lHHv4kJ+MHnCj7EbN8r4MX6NedyP3xt3PxwW7okUXxozJrt+HiO7p0+SxLUrROK2mYc00a9FMvWlj6hCoTgFkFV8IksWbj/33HP2+HfFaYiDpiHvTxLDkkV2xZpBOUokOjxVYrZknnjjOaLgfqv/GsQ+KlxW/jxenq5UUV5v2kwSly0V2eaNZ7ORTf7fEca9xzwGcyOR5ndmSJQRl86MSly0yJ6dIol7DEE6kKpBUpKkUCiyKaZOnWo/lq8fuFXkTDhNhRXzx31rIFuJSZe5pEpqOufOnS13N24oHdu3ky2bDelJ4+9UE/LlrwuFQqE4BcAHbnPUZ0kgSZyTxIp0JUkKJUnZSciXvy4UCoXiFECO/MDttm3b5JNPPpH169f7TRWnIxiLzdCcItlybD4CaZg7d640adxYOjzUXraEb/GbKhQKhSIr0LFjRxk8eLDdNZ9VyPSF26xCj4uLy9I5REX2Q04gSXPmzJHGDRspSVIoFIqTgNmzZ0tYWJgcOHDAKmGyAplGkrIqA4pTAB7ywSXbkqRQ8Kd/zpy5hiQ1MSSpoyFJ+i1ChSKngLWzkydPlqioKL+JIjsCpYvjFjmCJCFMt40aNUoiIyP9NorTDn6S4X4qSVIoFNkBbqBl11TTpk1l2rRp9l6R/RBIik55kgTIBAu3mUdcsmSJ31ShODXBdFujRo2kffv29mgLhUJxioLx1W7K8I1Tffv2lTvuuEN++OEHSUxM9Fn7nSlOPhwhev/993PWidtkbOvWrSkfuM0q5qdQZAaUJCkUpzbsEOQVLsaQXVO5cuWStm3byqpVq5QkZTM47pCjdreRKeYPN2zYIO3atZNly5b5bRSKUxNKkhSKHAJHkgwTmjt7rtSuUVty355HChUsJH/99ZckcwK9Itshx5EkBLUYzDwrt+wpFJkBJUkKRQ6BhyT1ermXFC9SXArkKyh5cuexX4hgmYgi++GZZ56RkSNHyp49e/wmmY9MnW5TKHISlCQpFDkLMTGR0uGhNlKoQD4pXDC/JUktmt8j//77XwqPUpx8uOk2lC12zZhfCZMVyBKSlFWZUSgyExwm2bhxYyVJCkUOwYjh30qVSuUkX57chijll3x580mxYiVkxPffS7zOfigMMp0kxcfHy+eff26n3BSKUxmOJD300EMSHh7uN1UoFKciOJDw7bffNqSomJQvX17y5s0r5cqVk5tvvlmef/55fRHKZkDZsnr1aqtJykpkOknasWOH9OzZ055DoVCcylCSpFDkHCxatEjq1asn3bt3lw8++ECKFClit5jzEdUaNWrY6XVF9gFTbXwHNiIiwm+SNcgSTdI777wjzz77rE67KU5pKElSKHIOvv76a3nhhRdk/vz59nfu3LllzJgx9tnu1q2bDBs2THbu3Ol3rTjZmDdvnjzwwAM5jyTxzbYZM2bYVelKkhSnMpQkKRQ5B3yGZM2aNXaM4qOpd955p/z22292nIIcoUniixGK7IGBAwfKW2+9Zb8Fm5XIkoXbnDmxb98+JUmKUxpKkhSKnAP3kVQETRInbv/6668p4xTjlo5Z2Qd//PGHLF26NOetSfLCNUiF4lSEkiSFIuchkCQpsh+8H7bNamQZSWLR1aBBg+xppgrFqQglSQpFzgTTbUqSsieYDuXLHfv37z8pRCnLSBInb/PxwKefftou5lYoTjUoSVIociaUJGU/OEI0ceJE6dSpk2zevDlnkyTUZWFhYdKhQwf56KOPTprqTKE4VihJUihyJpQkZU8sX75cmjdvLuPHj8/SL/97kaVrklgox8Krd999V0mS4pSDkiSFImdCSVL2A6Toww8/lE8//dTuaDtZnCFLSJI3c/yGLCkUpxqUJCkUORNKkrIn6GdjY2PtTBQ4GUQpSzVJXrCQ+8svv7S7ChSKQPAwnKw3h1BwJEm/3aZQ5CwoSco+WLJkiaxdu9Yu2M4OOGkkiQLgBM377rtPXnzxRbt6PbsNilkP2HIwUWQHKEk6fugzrsgsHE/bUpJ08uDqLTo62pZ/o0aNZOjQobJ7925rfrJx0kgSQIW2fv16eemll+SLL77wm57OCEaQkOyFY+2MTvUBUknS8UNJUmho2Rwfjqf8IEnuxG3FyQGnafNtNj4Nw0xTdsFJJUmAhs35B4417tq1yy7UGjJkiC0o7F3jd7+9Zg6B5u7wKa87zNzcJvDaAe99oJ2DCxPxntjqwua3g/vtrtjjh5NcfcA8kBARRrIkHdgviYmcUp721FfCQAtHOC48rgB33ji9/viNO8T9dm687lKRmjZfGkgz96H8YJZswqVMfG65Jh9MSnFPvhFf3Kn5DSbeMNzvQHuE+Fw9AK6+MqZcfGlx7ny/8Xt4fbn0Bdohrs74xlOLFi0sSdq8eZPNm0vPQfM7Odnc48cY2ewZmNuU38DFR3jUo7v3xutNF+C3sw+sb35724Nzizh4fzs4v4HuMHMSaOfug/1GXP16QboQB69fh0Az99uZe+2A14x0Eqc3vd6rqztndrTwxkM5I974EHcPnJnz5/0dCum5cXZIYDzeNDhxdrhF3L1zGwqBbgLz6BD4O1TeA925sLh64/G6C0Qw915g5urD3XvF69fde+2dH/wPHz5c8uXLl4YkOTfpwYXlysEbp4Nzg7l7Tt1v586ZOfHC+ScO58fdB/rB3Bsu8Ibn3GLv9RcMLoyMuAkE5s7O68aZI//884/99IvbtbZixQqJjIy0dZqdcNJJUiD4fMlPP/1kP2TXunVr6dGjh60kCnLcuHFSt25dK02aNLHnLoGYmBh56qmn7JebsXv00UftnCZ+JkyYILVq1ZK77rrLagEIg8bFN3n4uCF2derUsQMfFUdcVBbhOz98GRrs2LFDPv/8cxtPgwYNbBr//vtve0z6rFmzbHrx07BhQ/n4448t4WPRWZ8+fWy6sMMNGgniWbV6hbRo2Uxq31XT+Kkvr776somFvO6WCb/8JFWqVpK69Xx+fv75Z5u+jRs3Ws0b6eYL1uSVoxX27NljH3C2SxJXs2bN5JtvvrHxYE85Oj/8dn5+//13mxfS1qpVK8viAR8RfPfdt6Vmzeo2fe07tJM1a1aZ8JLtnPH9999vw7r77rtt+RBPdHSk9O33idSqXcPY1ZEOHR6SKVMm2/JhapW3BNJA+bzxxusmji0SFRUhn/btY+OoXbumdOzYXhYtWmAIyAFZtuwfGwZl0KBhPXn9jd6yb/9e0wkkyaTJf9o46teva6dsR40aZdPNtG2vXr38beEuefKpJ0x9/mfqbruM+G6YNG16t4mnttxzzz0yevRo2xZWr14tzz//fEod8Z1ByofynjJlii2f+vXrWylRooRJY0eZv2C+fPDhe1K9RlWb9i5dOsvixYtMCg7JwoWL5OGHO5l46ho/DaXPx59K4v4kq07m+0OEQzzt2rWTP//808Yze/ZsefDBB235NG3aVPr27Wt3dOCnX79+to2Sbs4LmTlzpk334sWL7RfMSTd2HK1BB0l5085RW+OvZcuWMnLkSFs+5NW1H/yR13///de2hR9//NHWK2Hh59tvv7UvKnRmPF+EheAfDTDppl26Nke6R4wYYdNG2nnZIR7yypfV6RBpJ1y7du1qzfHHF9jJJ9o58kC6SQNu3LMybdo0U6YPWz+0O9xFRUXZeD755BNrjnTu3NmWD2An7eOPP27acE3bHt5++23brgmPLcX33nuvzQ/p5h7zdevWycsvv5ySV9rFf//9Z+3obyDJpJlnn/Kij1m5cqXtS6hX8vvqq6/a/gc/9GWUKWGRPtopdcRAQB07c+qVvFJ2pJ97yoBnpX///jav9CW0BdKLHe1l+vTpNh6eYzYUUDaEhx/6RezoswgH8zZt2thvaWJOGp988kmb5mrVqsmbb74pmzYZ8m/SQDpd+VAffOcM0FbwQzykgbIiHEAb47kiHvofni/OxOOZ5APnlBt1Qfm49kMZ8vzihzriecOccYD6cs8KzxztEPCscJQMacOe+mdwpQ3hh7wSD30j/Q7PA4cYUz6kgbzyHFKeYMCAATYvN954o7V38dAeqQfCIq7evXvb8iG877//3j4jpI34qGde9DnLh7aAGWHS19KmyBMv/rQfwsL+l19+sc8d6cYdcVMXzz33nO3nAeVO/4+fypUr23gpU9KA5oVxijKg76YdEg9lSN2RNoQ2s337dtvuGJeoT8xpw4xbKCm4Ug8uHsYOxi/AbnTSix19IfkBjIc8k6QbO9JNXkjD2LFjU8ZQ2grPF3kljbQf8sTYQTt1HxGmTWZHZDuSBChk15G4Uza552Hk4WUgp9BXrVpl3VP4dKI8pFQODwQFjx8eRq8f7p0fCM6oUaON3Tj5feIfPg2AiYuHh0GGh5zrPNOpo1jZbwbopUsXy3ffD5cxY0eZRv6zeSg2mspNkojILfZBIQ34W7hwoU0/DzuDGenCnEGFDo8A4+JiTZrGyqjRP8jYcaNlxsxpxpw3jERZt36NfPedL56ff/5R1qwlrwdNw91hOkbS/YOMHjPSDLK/y654X143btzgC8/Y/fjjONO5L0vx8/ffU0z8pnzGjZK/p02S3Xt2SNKBvaY81lj3yIQJP5pBdIVN2+7d8TJn7izzUI4wefpefv11gimXGFM+kKFom1fyQ5miYQGQuyVLFsnIUd/b/Pz+x2/+8vH5oV6oC8pi7tw5pg4SbDwLFsyzceBv4u+/SmTUVuPngOnko+SPPyaaOhhj/PjKB20NaQgP32TzP2bMKJPun0xbWGnTDRnC3Q8jv7P2kyf/ZdK9TfYn7pOVq5bbsHx5/cnkdaXVBm3fHmPKZ7INC5k6dbLE7Yg18SSbTjHMth3ySgfDQw+hXr16lU3396YtkHbqISoq0qaB+uU7Q/hB6KipHwZUBhnKjDJgYKNTpXy40mlSPtgvWrTQEMI9tkz/+WeJrVfS9ueff6R8BZt4Jk2aZOPAH/VA+yU8Ptzp4mcg4rwR7CAVDMK4x47nhvZOW+X5Ig2YU7+kleePFwrckWbKgkGW54vw6DAJHz+kmxcM4Nq9e/bo7F26GdBcW8Af6eZ5pPNfsGCBDQc/5G3r1q02HgYs/JAG7Hm+GJRI36JFps2Z547wKHc3FUqbIwzsEEiI01hDFskjfnjGyTvx0PFTPq7Op06dmkI26G94fjGnnChjBitXPviBSDHguI7flakrO+IlHoS84p7wyBvl4vIKecYcP+QVskr74QXFlTeH7FE+gEGVe/JDXiGI1AHp9vY/vEg5P7QF6gX3DL6km4GRNDCY8YJJeAgvDYC84oewMKesKDNA3VM+pJmyJe+0K8KkfPBDXJBkNwBTHvhxaSAfxM/zwnNDuomHtSpuAKYdkVf8EBf5o/1QPoSNGX4oQ/y454t7wiMe17YB7Qfiz3QbLw2u/dAeeUaJh/Bcu3fPlysf2iNEkDTTviCupIG6hbC4tgDZdnVHmyOvzg/t1KWbccmVD26IBz/fffedLWPaHOVAXl29Ut6O9Hn7EuxoM7QFyC9tyY1tlCltAXN2kREPaaB86C+IB/Dc4MfVBYSL+Klbygc/hEe6qQfsKB8XD/auLVBH+Cc93JN/3GdnZEuSlB4oUK94cczmkKMAEpvGz0Ej1itqSt/0TaD47HzueYisvwCkhOe7M79Rl/qmgbxh89vdhzL3ijM/kp2zF2H6wyemqadxG/jbO2WVau4pmxTw+3A//oJLA5+/VPdecWbeq5OMuEkv3EBzr1mweki993UIdH68/fjWJHEEQLDwUvMbvJxS4TXnt2s3PvGF7QszVXzTlD6kuvWF464OXvv07Lzwmoeyc78dnLnXHgSahbJz4uB+B7MLBq97L7z+nTgEs3PiwO/AZ9n9DnQLvGaBV5Ceewfu07aDtPYgmBk4kp9Q5t4r4DdpQBhAGcgC0+QVB36n587ZObfu6hUvQtnx26XPmXvdeSUQXnN3hQywJil37tx2QCe/Ds69V7xIzyzQ3CGYOXkJhcCw3G9nHmgPgpmn99srgQh068WR/IWyO5VwypGkTAF1mJ64Meowc/OHq4PXLlBAoJnzH8wsmF1WSai4M5ImEMw8mF8QaHZE4Y+/MtKY+wVwzWj54c6JMwshc+fMk7sb3S0dH+ooW8LN23gQN8ckGYzfJ/zxN0jL7j3kLI27bCAZzpORUGUQsmz44y8HWxbmPo39UUpKUOYm0A4JZY4Ars5Nem6dhHIDgpkfqxxLPPgJJeZ/UAnm1i+Hkk3BBpqb/ydUjidc42/I10Mkzx155LdffgvuxsmR4gDBzI9WHALNjyef6YkiJE57kmRfzF0jCWw4TlwHGswOcQhmh+AXpDEzf7zXQMmMB+FoBHjvvelJL20gmHkwP8B7zZDwx18Zacz9ArhmQvlBkpo0vFs6ZBeSlEaMeRp3J1lcfoLlK1R+j8qcP578Hy9JOpIES5cTwDWIm0NB0x5EAhHMzbFIRuI+EeLNp/ttBIIUkiQ58PtIAoKZe8WFGyiB8XrFb54hkgS81xMpIJh5VogiXShJMo3kQJKI3ZjEs8yLuafxHDQPUFISKmfzsBv7ZGN/wJjRNScbN4ixsldrZjxyRQ6YwBKTD9hJLYSg7dX68blzfhOTDqb4C5TUsPHvkyS/mVeMkQ0v0BwhDCe48abZK85NoJnzE+jP2SWZH/z23nvLKdWM36ll5PWD8DvQPPX3IdmflGTLNNlUnNd9oFg/XP2SYu757dyZYO1vytSVcaL57coYsyQT38x5hiS1aCkPduwom7ZsseXtDcu6tek6aK+H2QURX9vw3vvE68YJ6dlvwt5nGmEicWDmN7dtwgjpRvabTLk84C5UmIGCO+ffhevMvWFgR5n40sQ19XciZRDgB3tvugPD9LonDOeWe5cO8uez85WBjdeYufD3G3fEvd88d/sPJTORbPyRroPW3JsvX3rShuPi8pUh7g/aMPDPNdGEuc90FFxduO65dnlwv31xErbPz/6DB3xm9AmkLcCvk1QzX9oD7RBfuP7w/GF53fncpkpqnnz3zk2ipyzJr9e/q0tXXph5/XrFG1eguHCI25WxE/y65yIwjd7nhXtfvaaG4+y84vzg9oBxx2/bLkyZHzBXfnvL1Naj33zQkMFyR9488tNvv6a4ceXtwtl7IFH2JO03v311x9W1Ma8fX72k2lH/ro6cW8S2BdOXJRlJNIMQkmTMXN0ThrcccE8avPXt4trHOGPz4kub8+/sXBpoN7hz/hHnHjHFdhhO9emy48VpTZL27NkrU6dMl76fDpQH2z4sj3d/Rtat3SQJ8ftkxvTZdv0JuzTuv7+NfPPNtxIfv1uiImPks88HyN3NmkvT5i2lw8OdZNl/KyR+9x75d/l/8kjnTtKk6d3SvGULeemVl415goRHRsgn/ftJ4+ZN5e4WzaXjI51l4h9/ya6EPTJ/4SITxqPStFkraXXv/dL79TdlU/hWiYiKkUFfD5bGdzc14TWThzo8LL9PmiwJ+xNlzYYweeyJHib+FtLinlbyau/XZMeuBInbGS9Tpk6TZi3usXZt2z0kw0Z8J3uNn9Vr18u7739gwyPt3Y3/pcv+k8joGBkz7mdpfV9bubvpPXJ/m4dk8JBhsjN+r6xYtUaefb6nDa9lq3vluRdeNHlcYex2y9RpM+Se1veafLaSB9q2kwFffGnj37wlQr40b2UNG99t0t1cunR7zOZxZ3yCzFuwUB7v0cNfdi2k9xtvyrbtO2xehw4bYeMgrg4PPyKjxoyThD2JMnP2fFte+Gl1733yzvvvy/qwMAnfulW+HjLU5KeZsWshnbt0kz8nTTF+9srylavkxZdfkSbN77HS+813JHanKR+Tpz8m/23S297E01raPNhBvhk6QvbtT5Zly1fJS6YcG5t4mpkyfcbkdd6ixcbfLvn5t4nSpn17qdOwkRQpUdKQpIdl3cZN8t/KFfLqa71N/E1NfprJM889KwsWLbR1PmnKZLmvzQPS6O4m0vr++2Tw0G8kft8e2RyxVb74+itp1OxuK916PC5TZ86Unab9TJs9W5545hnTTpobMtZC3nzvPdkUEWnj+qT/59LS5L9py3ukU7du8ssff8quvftk0rTp0vHRLpa8NW/dWt7/uI91H7EtVr4c8o00bNrUhvdI124yYeLvNp5/Tfn0ev0NaWTaVf0mTaSXqYe1GzdKzI4dMubHn6Rt+w62DFrd/4AM/ta0BVOmK9etl/c++tjGT1w9nn1OZsydK9t3xcsPY8bK/e3a2XgeeMi0n2+/la0x2+TfVavltbfftmXayDxHr7z2uvxj2k/Cvv3y55Sp0qFTZ2tOmIMGD5Ftpqyjt8fZdDdv1dqmoevjT8iU6TNM2e2XydOny2NPPmn9UD7kda3J68atETLgq6+ldZs2xq6ptO3wkIz5abzs2B0vf06dLJ0f62raga9eP+7bTzZsDrfl8OU3Q60Z6Wv/SCf57c+/jJ/dsvS/5dKzVy8bFs/s6++8Lf+tXinb43fK2J9/NOXd2cTf3D7LQ4YNk5i4HTJ/8RJ58ZVXbXh3t2wpz/Z8UeYvWWTCS5Ch342Qe9s+YMO6v92D8t3okaZ+omVN2Hp59Y3XTR00tvLMiy/I3IULbDv5Y8okebR7N2l6TwsTVzMZMWqkKZ84iYyNkf6DBso9999rw3uwY3uZ9PdUid+7R6bPmW3q5RlbNtTFW+ZZWbF2rWlzkSbf/aVF6/ulQZNm0qlrd1P+00zb3m2uf0uX7o+b8iGeFjLQlCNtjrY10PQ/97Y1/YLJT1vTJib9PU12JOyW1Rs2SM9Xe0lD05fUb3K3eW56yz8rVpr2s1OGjxwp7R5+2IaFcB9h2sLyNWtNOb4r99x3vw3vsR5PytxFi0x/tl++GT4ipc3d26at/DB2rETFbpfwqCh52YRNe0Oef+llWbzsX1tHk6ZNM/noZvLZQhqYdNBOw6OiJXbXLuk7YKBpCw+YeJrb6/Q5s2yZ0hY6deNZMf3PPS3l436fyobwTSbd203YPeXm23JJ+SqVTP12suUftX2b9du5W1db141Ne+jzWV/rZ68hNIOGfG3a+4PWruV995rnYY5tI5sitshzL71o46funn7hOVNm60yZ7pbxv/wsDz3S0dYd9iN++MH0wVG2L3n2heftuNHYjB9Pmb7knxXLTfnsNe10sGk31INpw61a2jBI8/b4XfL8yz2lxb20ueamTJ+Q/1atNM9rgm17HTo/Yp7/JlKvcSMTxhDZYuKJ2h4rH37ax6S3tWkLja3fmfPmmOchQVauXWP6w2/suiwW+HsXt5/OOG1IUoJ5uMeN/VFefeU1+XzAYEnYzYr+WPli0DB594PP5Yuvvpff/pghGzfHmYdtr2lQ+2XNxgQJi9gv67bulfUR+2Rz1AFznyjrthi78H2ydmuirNy0R8JiDsr6yCRZH2XuNyeY38Z+yx5ZZX5vjj0oG2MOyKrw3dZurQlrxaZdJsx9EhZJeAdktQljrQmT8FZt3isbopJNGAdSwl9j7FZv2WfNsNsYkywrNu625sjKTbtl0zZfGsKik20Y+F1hzNds3W/NbHgm7SuN3crN++S/sN2yLgLzZFln/K02+VkXkWTSudfGRZ42EJa5x+96k3fyvGnbIXuPn+WmfPCDOf7DokmDsTPhrtxkwgk35Cx8v0nvIZPugzbMNVuSTNoOmLTtlX83mPKNPmTMxZQHfvbZ/BDnWlPuYabc1pmrLQOTD/K1yvhbH0k8vnST99WmrNdQR6b8N0T76mG1Ke91W0w4xm715t0SHntINkWbfJi8rTJlt8Gkm3Ln92aTvo2mXNeY8JG1pny4Uj8bo5KMW2MeHi/jf58ltRvdKw90eEz+WbXFmq/dkmDtuK7bauohJtEKdivC4qzZqk07jRtDlmkLJry14SbeTfGy3rSBtZSvqSviJz7iXmvKjPjXmTyFm3ol3RtMOawx+VhrynnNpv3m3rTfbeJPt2k7xg92tM0wUzYIv1eGmXS58KgL2o8R7BD8rNq4x5QLaU6yZpQJV8qHdhpu6pzwrFvaqj8ewiENG0y7wi35cOH68pMaD4K/Daa9bzLthHvShplt/+ZK/kkDv31uTdsy6ea6ybQT0rjSpA33iM2TCYd415gyXc3zxXVTgmwwz+Bm85xQxtyvM/Xu0kG6tpj2sCEy0bgnDNOuNsbb8qZ+8EP9ENYa046Q9bRH4x47J/jBnPyQdl+6aEO+9kO6N5s2T7g2PNMW1/JsGbe+OvL5obxX86ya+qWeN5pnjTTZeP1pIT8bTTsgDeQT95SRbcvmOXBtGDPKg6svr8aPMXdlhplLG+4pU1eWKzbEy2rTFnzpPmTNXD0QT5gpmzD6QH+6ffn01RX52Rhp/Ji2uXIDdrQj0kB5+tq3qyuXBsJxaebepYEwsaPdrTfPPX5cnpwf7kkDV/y5/FAXuLN1ZPpsym5zTJJ9jjBb4/HD80B7JK/v9f1GbslTUt7t+7XxE2vySfoIh+d4p0kzZUHZUD+UD/khXt89dbLJ9FfEQR0RL/W+drOvPWLGc4xb/PFcES7jBGMCfRZjBPf0XfRZjDX4cW0aPys37rJhEQ5t2NeujH+TDsIjPbTrMNMmsCM9Ln6XBtoZZivDdsnS1TE2PWGmfc39Z6N5gRshr7/9gTz62BPS/4uvZGt0rOxJTLYvoGGbNsuBZHRPpxdyPElKPmAejvXr7Rk9zZq2kLfffk8mTZ4p22ITJCJyp5FdEhmzWyKizL2RLZHmoYrYI+HmAdlkGpoVf+PeaBrtRv/DuNE8jJAIJ5ADN0gzuCNuwHbCvZP1psGu38oAnBqeJSZ0ACYsyAfEBDMrxt6ZQw6I09mF8mPTFswuWoyZ6bzNQOsjSqTVnxeve3NNY2eEMGwa/PaBftaZToewN0SZgdXE443La841bRp8dpApX3jk03SQptyJI21efSSJ32Gms3Jl7i3vMPObenN1R8dBB0Ln4TpTrnYQ8Yszd3Z0oHTSGyL3yuZtiTJh0jxLkto83F2WrYkwfkyHGLXP1B0DmBksDTniHoKE3cYonxl2dEKuo3KdnE2bEQaxw9MAmTH5CvCzkcE1wpTTVlMWhliGRZhyMbLRlIkvP75006684aXmx9fmnN1GyKv5jXmgnRvIveGlStp4EG/8gWF5yztU+lw4ztyJ19xrx2/C8YVFvaY+q4HlRnmmlgN+CItw0rqnjThC5MydGQIhdHH5/Pji94XnC9Ol02fuTYMv7al2Lg2ki98+t05S/aTNjy/+tOVghXvbdnz59OXV1YXPfdp68KTbY5baFg6Pw+vHawdpX2/a44aU9mhImxFfewgdvzcebxyB8QfaB7NL689bR956TfVn/Rj3kI2P+g+TW3OXkOFjfpfInfQb1LUhQf7n1hueC4s+BTNvHXnbD+bOLpQ5L9S+fs749fdjiAvPiTcer50zR4K5d8J9ahpS7VLD8/VVW6N3SdS2XWYMjJGw8Ah7jYjZLq/2ft1q7O9/4AF7xhTHPpwu03CnLEmignzztWm3GLKdc/78haYiv5IFC1bLzp2HZIsZuBYs2WCIz16J3n7QvAWYwds8yOu2HvKJf6BOuVc57WStEcN7DpO1RtZtNe3FELif/5ovdzVsJe07dpblq7fYQWG9ISvBwlNRUTk1ZHOsGJI0Qm69s5SMGDNRIncYImFfBhkTTp/ne32k6evMuGhfWHn5NcKLL7MHWwyBWhe+S8ZN+FM++nSAIVjbZHey6Rc3b5bobTHCFw58q8JyHk5pTRJV4qqF8zzWrF4nzz//otSr10Cee7anzJq1TCIi98imrbstUdpsfoeZ3wxu67aYh8A1EPMwMAXkbTAqp5coSVJROT0lkCRF7EBDjFb89CJJVpzCwJAjr4RF7pXw6H0SvX2PxMSxRCFONhn58JNPpPV990q/fnwhgMMsc5526dSebqM+Dvq2mSYnGaKzOly+HDRMFi9ZJZFRCbIVjZG3kfsbgG9w4wFwjcM3EAbKemOncvpIsDbgREmSikrOlKAkKfr00yQh67eYcQ/ht0dS+kJmYOwYyjSdGXPDouW3P6ZJ50e6yAvPvShR9lT9nKVROnWn2w4elIjwLfJZ377y+2+/ybaobRKxdYdER+2SmG2GIEXGy0bTwMO2eMiQkiSVdCRYG3CiJElFJWeKapJS5WhIErIlKkFi4vZKTPR2WfHvCtm5PVb2790tmzdtyjE7405JksT3YfiGDB8I7dr1MZk+8x/ZEunbIUPFOTIUxuBmKzegIfgldRD02/n9ed2qnE7i2kOARLDYXEmSSs6S9Uwlm7YdzO50EiVJXnH9nv8+cEwMcb8h+oBdeL4hIkHWbd4p3Xo8Ky+83EtWr1ljl8KcyjjlSBKLtPmQH1965zyHiIgoiYhi3RHbHX3s1lUcBAlWnFKhflGSpBJcXHsIFEOSrCZpgZIkFZUcJrpw2yupfZ6VwDEx1H1kot2ltyFit2zZtl8WLF0uz7zwkrRufa/9UDHfvnTj96mGbE+SKFSEQuaLyHv27pOo7WxV3CtRsQdksz3LAnKUuvDakaAjSUpFq6gcQdAk/TRpgdRuBEl6xJCkcNOGlCSpqJzqAkn62JCkXEqSjl9MmbE7LjxOJGKXyDfDR8nY8RMkPj7BP6J7t1sZwJmyOW86JTRJTK+NHz9e7rvvPlm1eq1s3LrLkKMEc03w71ZTkqSSuaIkSUUlZ4qSpBMoHs0S5z1Fx8ZLVPR22bkzQWJiYmXf/r1y6JBn+k1J0vEjISFBhnz1tdzd+G755XeOit9tDx2kIsK2mMHLSNDKUlE5gaIkSUUlZ4qSpBMvKYoI/zTcltgkeeP9gdLlsR6yaMk/kuiffjsVkO1JEuuPXn3pZZk9c7bExe+RzZHbU9iqkiSVrBIlSSoqOVOUJJ14CSRJ4Xx1ICJB3v3gY2nXvqP8PW3aKbP7LVuSJDdrmXjgkMTGJcj6jbESbZgonwUJ22oK3VMZwcRV0JEkmF8VlWCiJElFJWeKkqTMFz5bZU/u3rZXPhnwjUyewYec9/uOOmTQz8bIdiSJRdox22Nl6LBhMnf+YomO2SHhhoGyey2Mj7UqSVI5CaIkSUUlZ8rmbakk6TtLkk7fwyQzTSIoT74Zt1s2bI2T8OidsmvfQdl/4IAkH8reNCnbkSTWIH3+xUDp2KmTLFm2TiJi+GLyIVnrPRRSRSWLRUmSikrOlGAkaVMUH79VknSihT5z3ZYkWW2uK8OTZMiwcbJ63RZJTD6YMoOU3ShTtiJJ+/btk3Hjxsn9bdrIwsVLJDYuUTZHxFuC5CRYwauoZLYoSVJRyZmiJCnrxNdnmrE8UmRDtMgn/YdI9x4vyJaIKCVJGcHuvftk0pRpMnXqXImJ3SdhkQdMgR4IWtgqKlkpSpJUVHKmKEnKGvEpOTwH9BqStGnbPnnpzT7S4+nnDFGKlOx41uRJJUnu9E3fgZEi+xKTJDI6VqJj+PbaLiVJKtlGlCSpqORMUZKUleIjSesjfRK+PVFWbY6Vb0f8IBs3b5Hkg9lNj5QNNEmQo9jYOBn4xVeyKXynbI7gcEifSs5J2kI+aMw4PDJR1kfsscIWQyTtZ0kMufKbr4vEjc/t+oi9dgEZsj7C+InY5zf3ufG5w9z4s+7Ywoi58ZcmHkfezEPkD89nb9wHxJ8SXtB7597l0+XPiYckBubLxptq7yuvA3aB+wYWuKcJV+V4REmSikrOFCVJWS9hEe4jugdkY9RBCY/eK3EJByUbcqSTT5Li4+PlnXfekwfatJPNnKSdDklaH3FINsUckg2GGGw21y3bk63YI9B3ikTvEtkYfVA2mEJnu+H6qETZHHtQNm8/YNwYd7EHTBh7zb1xF3PQuE0yZgdTwrHuuMYkGzsTR6yJyzws+N0SZx4m3Jq4okxcETvEqgt9YohNpHmoopJk47aDEhYjNg24J21bTHzhJixOIN28/ZBpFEkSZsjRekN0wo3dhkiTvwjSTfqNOxPWxijynmgbkC/v/jzZrZTJNiz82rhNg9tA2Ri/PNibIk06jISZMlKSdGJESZKKSs4UJUlZL6m7zM1LvRnTwrbES2Tsfvnjj8kStmGTHDiQfT6Ke1JJUuKBAzJ73lxp0rS5zFu4RCIMSQkzJClFA+IXV6BhhigsWBYpz/V8XR7u/Lh069bNyGPy+BNPy6u93pAfvh8n0VE7JHrHbpmz8B95rMcT0uXxx6Rb98ek62OPSZeuj0uPp56XhSs2yIjxv8qDHTpLl+5PmjC6W3nsscelq7l2N+H1H/Cl/Pbn3/Jo1x7WHOnW/XF56unn5N13PpQZ0+fIrvj9siViu3w38id5qGNXefb5nrJi1XqZMW+xdH/qOeli0oYf5FHS+czzMv6X36X/F4Nt3M++8KoZbDcZ4ufTinFd8G+Yyd8r8uhjPeSzL4aaBzXOkD1DmgwxmrNsjXQw6enSras890JPmTxllmzficbIkKLoZFn8X7h0f7q3dHviKRkxerwhgvGGVMVbe6/GSeXoRUmSikrOFCVJ2UDMOI9Coff7/eS53u9KVOz2bLOA+6SSpP1JSTJ/0UL5fOAg2Rm/RzZG7kmXJNFoZ84Pk7vqNZVCRUpL0aJFpUCBgpK/YFEpWKi4lCtbRd54/T2Jjd8nf06dIWUrVZCipUpIkeLFJE++vHLbHXmlVNlK8vv0+fLa+33lxlvulNz5C0uRIsWkeLGSUrhwUcmXt4AJu4QhNk/KV0NGSLESZaVE8VLWTd78BaVI0RJStEhJaXJ3C5nw658SG7dTPvh4gOTOV1SqVqtl8vOP/PLnVClftaYULV7ChFXU+Csgd+TJKyXKV5Qvhw6Xb4aNlNtzF5SKVWvJkGGjJHLnQdkQuVfWhMfL1yN+llLlKkqFKjWk74AhErUj0QzQphwiE2TA0JGS36SnZOlSUqFSZXnjzQ9kR7xPi4XWatbClVK+WiMpW7GqfPhpf9Po9sqGqARThkqSjleUJKmo5ExRknRyxe5c35pkZ0r+WbtVWrR9RMaM/1F2793rZwonF1lOktxibXDw4EHZtn2HrI1JkLDYfWmIUaCsNxJmCnPOok3SoElLKV2+ijzQtr38NOF3+eTTQdKi5QNSokQxadiwvqxfv15mzJghVapUkWrVqsmAz7+UOXMXyeS/F8ofU+bL2uidsmjtZvlt8lwZM2Gy3Hv/g1KuXCV5uH1nWTBvqUydukhmz/lXhgwdJmXKVZBqtWpKz16vyncjx8vLvd6UGjVqSNkyZeTpp3rIjrg4+axvPylWuIjUqVlDli5cIH/99ZfUqllTqleuJM8+9ZQsXLDMhDnHxr96XaQhUv9K7ToNpUzJMvL4YyaMHQckKmq3rF0bLa+88o4hawVNfu6R6bOWSnRsokREJ8myFeul9X1tpVSZ8lK5cmWpVKmqdO78rKxdFyubY0S2mAY2b/EKqVKzgVStUUU+6d9PwnfslPVRcanlGKSBqmRMlCSpqORMUZKUDYQxPvKgbN2ZLF+PnCCf9Bso23fs8DOFk4uTokmCHMXExMiWLRESEblN1kTvMsK0UCopCpRAklSmQlV5osczkpQsdtprzNhfpFChAlK7dk35/fffZebMmZYk1ahRU8aN+0k41JNZzr0HDsnW3Ya17tgrUTuS5J+Vm8yg11lKlS4vj3frIYl7D0oca5C27LQkqXS58lKjTm0Z+t0I2W8C2BoVIy+99JKUKV3aEJxuEhsTLf0+7RuUJNU08b/9+uuGGfoWqCceENmZcFDWrA+XF19+TYoWLib3tnpAlv27QbZt2y9z566Qli0flLJlS8tTzzwjsTsMQYraI+GRSfLXlMVSs1ZdqV6jtnTt2lVq1qwjdeq0lDHjJpmH2qRruyhJykRRkqSikjNFSdLJFd9ON1POZozaEL1H1kXtkq3RcWZszx7rkk4KSdqTsFtGDB8uXwwZLpujzEBuBxvEN60WrCCRDUZmLwr3k6Qq8tjj3SUm1pCsdesNqXhWihQtJA0bNZDVa9fL9BmzpFqVylKhfDmpV6+eNG/eXJo2bS7dH+8hazdGyqbInbIxcrcs+W+jPPjgg1KyZCnp8mh3iY/3fSNu3eZ4+erbkVKqfFWpXbeOfDV4sERGR8vvf/whDRo0MCSpjDz/7POyw7Ddfn37W8JT25CkxYYkTfrzL/O7llQqW1ZqVasqrVveIy2aNZdnjftVq9bKxi3R8u2IkVK+fAVD6urKN6Ycdu7c4yN6hYtbojf0228ldleyhEftltUbYqXXGx9L0eIlpfW998v334+Uhg0aS5WKVez6qC3RCRIZu0cWGJJUrWZ9qVatinz6WV8lSSdMfAv0lSSpqOQ8UZJ08sUdFE2fytrjjZH7Zc+BQ1axcbLXJp0UkhQVGSUN6tWXv6bPli0xu/yDzdGRpBKlK0jREsWlSLHiUqxEKUsgKleuKB/1+VB2xu9OIUkVy5c1BKikFCpUWArkL2QITmNZuX6LIUJxpjISLElq165dGpLE7jAvSSpVtowULlrESrGSJaRYsWLSonkLmfTHJInbvkP6fvrZYSTpLkOSKhp/ZXFfpKiV1q3uk3//XSkxcQkyf/EyQ9xaGhJXSV5+qbesWbtRXu31luQvUERatW4pUdExsjVmr2yOTJBF/2yUth26S+my5eSll1+VLVu2ynPPviAlipU06Wgly1ZtlJid+y1Jqh5AkjZE71CSdJzC7kGfJmm+3NW4tZIkFZUcJEqSso84LrApKlGGfPebvPdBH9m+Pc7PHE4Ospwk7YqPl7feeU86dekmO/cdkrDI3bIm4pCVYIWWRsxAP3Oxb7qtVLnKUq9BU2nZ8gEpW7aiNGrYVL4cMkKit8dLlCEhU2bMkapVKkjVyuXlxeefk6HfDJbBg7+S0WPHyKYYQ5AiY1M0SW0faiclSpWULl26SHyCeUAiTUVt2i2Dh46WMmWrm3CqW4JTvWYdqVi5unTq+oRMn71AtickSXhUnPTt21eKFkmdbvNpkmpKpQrlpV3bNjJ86DfyzZDB8tOEX2RjeJRs2ZYoq8Oi5IUXe0spQ/ZatWopI0d+L/Xr1JVyhgg9CxHatks2cEzA1j0yctzvUqx0Jaldu7a8+96H8t+KzTL4m9EmzWWkVp16MvanX2TXnkQ73Va9Vn2pUa2S9Ov/qUTs3CFhUbH+M5USDy9PlQyJkiQVlZwrSpKyn4RHJ8uUmSvkwYc6mJf/RXLgwAE/g8h6ZDlJSkpKkmX/rZBFS/41jTFJNkQkHBNJYk3Sw488Jt8OG2mIRSWpWrWWDPp6mOxI2C8RsbssSapiCFLVyhVk1A/fy56EXbJzZ5zEGeIQERdvSNJ2Q4b2HJEklS5bTercVU8++qiPPN7jGSlavIw0atpK5ixYKrHx/2fvL8CkutZ8f/zMnf9v5s69d+aOzz1n7JwY7pDgCQFCEiB4QyNBgocAcSNASCAhLiS4u7s2tBvt7uVe7e71/b/v2lVtFAnk0J2qyqrn+T5Vtfdeunet91NL3lULnTm/FSQlx8URJN3AyBEjKO3BWL92DepqqsUE78LiEtgKSqC3VYthtMtXbmHAE0Pw1IjheOvNNzBwwOMYPfoZXLh+E5aiCuHHKVtXhE2f/4AuPQZg4MCBYsL28KfGY8iwZ9GPrh84eBheefUNFFdUIyZJgaSnRwzD1m1bYCsrhS6fQIniybPUyb3vfqEkJElJ+a4kJHmetOwPkGzW6tfewLGTJ1BRWekkiI5/dTgkNTQ4YLRVQm8hCLAo3Ws5ZIRY7iqrlQiSIgiSxo6bRPAyGCtXroLdZsNLL85D/1598MK48UhOSkJReQUCQ8MIUoYQKA3GRx9/iIuXL+DMxYuky8gz5tOPwDknKV2LF+fPQ9/+/cWE6LLyKmW4TVdKkHQc/Z8YjpEjR2Pvvv2IjI7GwEEDMeDxfnj9jdcIuEphttoFJPXq2RNjRj4tICngOkPS0xg2ZDCWLV0iJpKfO38eZy9eQVJGrvCHpLfVIClVhYmTZ4rhvCHDhwkIepHKkpyWA5OtFAZ7HaLiMzH62THimueeew7z5s3HnLnzMPvFuXjhhYno07svZk33gzo3FwlpaRgxejSefvIpvPfuezh//iIuUHlvBofBlF8qnGvKHqX7l4QkKSnflYQkzxM7mTQXOche38TOvUdRUlImFkD9Gq8OgyRe+l9VVQWD0SQgSWsqcxqZ+4Ok8Hgdxjw3Hr16M9SsQE11Da5duITe3bqjT69eWPPe+yitrMLNoGAMGfQEBvTrg549u+OxTo/ij48+ih59+iE8LhWG/DIBSQlpGsycPUv4UuKepPIK7kmqQ662FDt2H0GvvoMwfPhT2H/gIKx2GzZ8/BE6UVzDhg/F8ZOnUFBUhK+++gpdOnfGiGFDkRQbgxtXr+GpYcPRr09v9O7ZA126dMFDDz9CaffH7gPHhOdvhiSNrgBffbMdnbt2IegjUBoyBBs3fgJbYTkM1mLKXzUOn7yKzt26YgQB2KVLlwjiylFYXAqT2YoDBw6hW9duGD54ELZ89y0SUlMx/OmR6Ne7D3r36o1u3Xrg0cc6Y/ykqchUGYSXbglJ9y8JSVJSvisJSZ4nxRN3A0y2chTQ/eDOFZ+HpJqaGly5cgVzXpyHzNwi6Ey1LWa0K2pbUW2VSxUXnWzCgqWv4IWp/tiwaTPKq+ug0prx/tqPMHb8BMxb8BIio2OE/GfNweSpfpgybbp4nzRlGmbOmYeYtDzo2DeTqRJJGUa89vZ7GD95Gtau/5huSBW05nqo9JU4cfoqJk2dLXpuzpy/hPySGgRFxMKf4phEca7f8DF0RjN27z+EsS9MwvwXFyAtJQMhYVF4ce5LmDrFT2jatGmYMnUqZsyei9MXrsFgqxcr6NSU/o2gOIqL8jh9Bl5ashTnrlyHqbgRWms10vMK8OGmH6hck7B8xWrRC2VgL9pWdjBZi8iETCxf/Tam+s3AV99+T8CXiblkwF3psiZP9sPqN95DjtpCDx179paQdL+SkCQl5buSkOTBMtbDkO+APb+IQOnXcQnQYZBUUVGBffv24eONn8Be5IDGWKN42iTdKySpiCzZszTPOWLZCktgLSiGJb8U9sJyWO0FsBcUoqCoWPS25BcWie8u8XdbYTGM9CPQWMsIVKpgzq+l/JSKePILSmDjHiaCJD39SOyFNbAVVDjDFtO15bAVVYp0OR57Ac8zKkNBSQXyKY5iiqO4sJSOEf3yO11TwGHz8ynuQgpDeabwOt67zcQ9VtWwFNXTMcqXUxaKW0OAxB64GabM+XX0gFBaFJYnpOttpWIitpquMRVUUnjKT34B8otLUFBeKcrCGwbn53O6VG56uKxUP+wiQEwEl5B035KQJCXlu5KQ5JliNlALdwAOvPPuGuh0ulbOqDvq1c6QxB4OFC8HDArz5s3DkSPHmvdoc1MxPyU2VuLdQg+wlR5gMxkpS6Nwac7bbuSalJ3xW++i3yyNU65wIi76ETAUaUy1UBurxLvi3IrSpOvEtRRGTWm2/C7io2Ouz+K72H3fmQeSKz0+zvHy9a3j4fRZ/NkVL8VJeeNNb13HuMeLoYr9R3B+m/PHZWlOXxGDUI2ipmNK/C3rUureJSFJSsp3JSHJMyVGmshO6guAOQuW4MCRX2cCd4dBUnl5Ofbv34/MzGwYbGzwfzkkCTBwwoYCSEpluqChLby45IIWl3dPJd7GpuNaBgtjNd0cBhFOR4nXFf6O78aWIMJx/BQkKdfeKyQp55VjamMFhXdBkpJvzp9SB83pszQWTltC0oOUhCQpKd+VhCTPFHcGsB00FgHf/rgTazds/FV8JnXMcJuDUKm+EfaiMphsxS2MPUNPS7mvrGbd23WuieA/p+YwbeJ1Qkxr8Y/l3tJvCtN07C7xt/nugqa2x+9wkXCX6+/4boTQPedbyq0kJElJ+a4kJHmmGJJ4KzKjDYiJz8TX3+1Avp1uVmPHDrl1KCTxnBy9pdBpXPgBbGnA78WI39t17oDInZrDtInXCSGtJSHptyoJSVJSvisJSZ4rhiQd2T69qRganQ119Q0dvsqtQyCpqKgIr7/xJhIyddDaq5qMvLtKcav7vf6u8k1YcMFRW0iSegCiH6j4R0OQdCEgBs+Mm4YFCxYgI0dPx6kBdT2bAqLdhJeSkvJoSUjyXLk6VHhOr6XIgbpG1wSejnt1CCRZLBb4z5wNXX4lGZvKZsPiplLc6n6vv6skJEndn3jul8ZKkGRlSIrF6LHNkKSmYwxPDEtiDpub8FJSUp4tCUmeKxckGe2NCI3OReTtOFTV1DjJomNe7Q5JdbW1CA64Bf9p02Ev4cnHcsNVKS+R2YGErEJEJqphLXXg0q1ojB43BfMWLES2ygiNpQZx6RYkZuZDLZ5n34RwKSlfloQkz5eYvL3rLN54533h8qYjX+0OSexl+/ihw3jv7XclJEl5lVQESRcCErH+022ITtHgSnAMnhk/FQsWLkZGrh6nLkViw2e7kZxTSMDEjamEJCkpb5OEJM8XQ9LZG3GYPfclmCwWJ110zKtDhtvY27bRZIahsBIqS4mEJCmvEA+xxaTo8ea7n2Dxsjdx+Ng5TJk2CwsJkg4fPYUZLy7BR5u/J/AvhdpMz7boGpaNqpSUN0lCkudLR/coMsmI5yf4QWswOsmiY14dAknsTtxitREgFUtIkvIacU9Sjr4SO/aexlMjJ2LilFl4buwkjB49Bs+OnSAmcV+8Hg5jfrWEJCkpL5WEJM8XO49mv4ABwVEoq6xykkXHvNodkurrG6DV6mE222EgMNIYWzh/dFMZUlKeJK3NgZthSfCbtQh9+w/E0KFPYeigoRg+dDjefvttZOdqobdWESRVuw0vJSXl2ZKQ5LlqWoxkVhwn24prUNPo6FAvAO0KSbzPSnFxMdasWYuwsGgJSVJeJx1BUkqWGWs+/BxPDBqGocNGECQNw9jnxoq9CItKq6C1VEhIkpLyUklI8ly1hCR9gQMaUxGq6ht8B5L4xT6SXn39TdyOTYSRDA5v0yEhScpbxEv7tfkOHDsXiKdGjcHgoU9i8KChmDlrPgICY2Ar4muoIXU909JfkpSUV0lCkhfIUgtbhQMffvwJAm4Forq649wAtCskNTY2wmK14uVXViEmPgkGhiTRbSYhScpLRNBjKGxAWGwy5sxfiL4DnsCgQUPw3vsfwmKrgt7Ce/W5AIklG1UpKW+ShCTPV66pGvZKBxYsWorjJ0+jsgPnJbX7cJtWq8O8BYsRTUZGb1U2k5WQJOU9omfW3gCttQJbd+xDl669MH78BJw6dQH2wmpoTZVuwkhJSXmLJCR5nu7YistSC3uVA/MXLsGhI0dRUVnppIz2f7X7cFt5RQVuBYVCa7BJSJLyQjXQv5haaCxVOEZgNGDgMMyf/xIys1Qw28qhMVa4CSMlJeUtkpDkeXILSZUOvP3eGpw5dx6VVT7Sk6RsbAsUFDVCR8akeRKWhCTfFTUq4v76SuPSSM9svWg0YxPVeOPtjXjnvU+gMZRDTWX0nSX/zvsmjYLUb0wSkjxf7F5FZwOM5mICpAY4iC14pKojXu0LSY1UEFJFlQNWez00ZkhI8nm5jG0Dco1KA6MWG8QCWrv3SUcyUCNqKnAgV1OEC5fDceNmNApKleMsbmS9TVwutRV0r6hc4j657ps0ClK/LfHvQUKSZ4shSUN/SvMLq1BXr8ARz3nuiFe7z0kymaz48OMvEJ+cA42lHnnGFhNd3VSGlLfKaWSb1CicMfImsNnGasSkWxEap0VIrAbBMWqSCsGxeR6vEFJYrIqUh9DYXARHZyMkOkccc3e9tyg0Xo34LBtyTTXiHskNeqV+q5KQ5PliSLIUA8dOnENqWhbq6uq9vyeJC8DS6814afFKRMelQ8teM+WcJB9Va0hS8XAbKSGrGDcisnAtNAPXwzJbiL6Hp3uFboSx0hAQloqb9H4zNJ0+u7/Wa0TluEblYVhNVZVDTZCkMst956R+e5KQ5PliSCqoABYteRkHDh1DRUWlbwy3cSGMRhMVbJlwAaCx8SRY2ZP0WxD3TLDxDQjPIUAiyAjP8gkFkG46392d9woRtAZEZjfBa0isGumaCtGjJI2C1G9NEpI8Ua7NwhXxvND8cgcWL1mOI0d8CJJ4zFCn02Hl6lcFJPHeK+xaXEKSb4uH2bL0NQiL1+N6aKZ7Q+2l8glIaqmwLNGzF5dhg9bO904aBanfliQkeaLuhKSCCgeWLXsFhw8f9Q1IchWgvoFAyVwGk70GOZYGIQlJvqxGqK2NyNRViJ4KNsAug9zys5TniIc+IxL1yDZUEyTJ36XUb0sSkjxZzZBkLXHgyvVgZOZoUVffIPiiI17t2pPEr0ZipYLSRugtlcgy1kpI8nk1im060jXlAookGHm+xJBbnAaZ+kplixW391VKyjclIcmT1QxJvPDLWlCOmobGDutF4le7Q1JtbR2SUrUwECSpLFxgKriEJJ8WD7dJSPIeMSSFxmslJEn9JiUhyXOlMhIgsQiS9HYHtMYClFbUic6Xjnq1+8RtrU6PhYtfR3RsNoRfFi68hCSfloQk7xIPt0lIkvqtSkKS56olJPHE7TXrN+HClQBUVVU7KaP9X+0OScrqtpcRE5cMrZU9FMuJ276ulpDkzihLeZYkJEn9liUhyXPFgKQxAWpDLQrKHFi0eFnT6raOerU7JOn1Bry0cKnY4FZC0m9DEpK8SxKSpH7LkpDkuXJBksZUj8JyBZJcq9s66tXukGQvKMKOPfuRkauF2sZwJCHJ16VAUoVbg9ysbFKO+Kw4OGx2NhkQloVbEdlN4iX3t9i3D11zgwz6jdBM3KRrgqPzEBqjQlAUX5NOSqNrnD6Z+HoKez0iE9ci04Suk25EURoRObjK/pvC1bgZpUVgjA43IvNwjf0Gka6G0zWRWbh5OxuBt/MQfFuHkFgDgm5rRJ6vh1G8HJ7iYQVE5VGc2SJccxwsTp/zkkF5yaD8ZVA5KO+iHIpDSv7MCqBycfn4vBDFdYuO3aL6CKT0bglRWqFcb5S3yByRn6AYLZVJTenkNeeNFEBpB9I1wbdzERRN10dQvVAeOD+cZ65/lysDhqSwOC2ydZVQC0hSJku2kqvbW0rKi+WuvVIg6RBBUh+CpMuwlFRDY3XaKQlJv6qa93utFxvcrvt4Ey5dv4Gqah8ZbuOdVRoIlEora2G2FzsBSUKSr8sFSQwpzVDUVtkIJgOfkF2ADF0psgyVSFGVIDLJKIw7wxG/u6TAEgMFQ4YCUeeuxeHAiUCCJYIHBo6INIIHAhACAVcvFsOXC5CuRxGM0XmGpCvsHyhCjfO3MnDoXBQdz20BOBSWwOvUjRgcvhBO8eThh71XcPJyrACTmwRUASQOw2JIukF5FEAUSZBCukb543T4e0Ak5ZnAJzQmD9HJekQmagXYsRdvBqKwOJU4HhGvEVDDxwIZlAhegqgMwRRPIAFQYDilFcp1R+eicnHiUgzlPVJAnsiPACQ+T/VB9XstOB0nLkbg7NUoipfSuwskiYnbcRoJSVI+L3ftlb7APSTJXtVfXwxIYs9XSwMMhWRXclQoKitHQ2PHrXBrV0jiV0OjA9bCSuitpWIJnxxu833dCySxEb8elIZPv9yLQU+NxYhnp2Li9AX4cfdxRCTkIjw+h2BCLRQWp+yZFpGgo+86gg2GomR8+PmP8Ju3HGHxWYhJ1SEqyYDwWB0BhprASkvhrHTMTuBlBgPZLYKZmwQ1vNw9IoniStZg64HzWPr6x7gYmEQApBL7y0WlmOi8AV9uO4k3131DMJOENz74HF9vO0rpaxCVaEB0ioGu0yEsgdKKJnhhmIumvCYQ7FDcYQkEPLF5dIyBLp2gKAtXKI11m7ZjzYYfEJ2gRSiFCydAunQrHm+u/QprNm6h73kIu52HqHgtYpMpHQKnUIKsoLBUhEVlUDgVYtMMCCTge+WtjzBv2ZsIiaH4o9OpzhjCdFRPFIbq6PSlcLz82nq89cGnVLZMXKV8XCP4YhC83nQvlJ6nsDg9srXVwjC4/Jmxcq2NyKVjua7frJSUjyjXxM6N6wmSHPhqy2H890PO4baSWoKkWvot0HnZk/Sri1fF5zplLaxGbYMDHbi4rf0giSmPVVRcgm17DiM1Wyf3bvuN6F4g6Rb3DoVl4Yedp7Dmo69wMywBF66HE+Ak43JgLHYcOIfdRy7jq61HcDU4EbdT9Ph660nSCVwIiCFYUeHjL7dh3LR5OHL2BjZ9vRs/7rmAkNsaxKbmE2yYcepyCjZ+dRzf7bqACzdTcDvVRsBkwtWQdHz2wxF8v+c0Pv/xMFa++xmuhqYhKtmEYxcisfn7I9h9LABfbT+F9zf+gCxdAa4ExRPoZBLoJGL7/svYtv8iNn23DwfPBCI61UzAZcRNgrAf6dyn3x/CobNBuBSUhOMXw8TGuKzLtxIxf9n7ePKZGTh44qaAoJhkPcV1Dv2HjcPKtzYhOduOkKgc7Nx/CZu/3o99h68gnAAxhmAxIiYLR0/fxObv9uOHPaeweNUazFn8GmLTNQQ52dh79Co+/XY/dlGYSAKlq4EJWLJyDd54/xMCyVxci8y4KyRFUb3obPWwlQNmpywVTlWS+HuZlJR3y0rPMT/jLWWnZ3zLjuP40yMDcOjkFViKayQkeZAYknLIphhLgGu3IpGWqREb3HbUq2Mmbi9ZTv+I5cTt34ruBZICCQQCozLI2J/AZ1t20L+5CqSr8xGdosGGL7ajU++h8Jv3Mib4v4ReA0di7NQXMXn2QozzexHT5i7BleDbFG4PHus9GCPHTSdYmosnn5uEpa+9R4CUjiNnruAFv7mYNmch/Oe+hOn0fv5KKC7fiMCzL0zDiDEvYIr/i+g1YAhemDoLAcEx+GHHMQx+cizGTpqJyX7zMXDwc1hJIBIRGYe33lmLH7btwYaNX6JztwGYOGUOZs9djpHPTMLn3+xCaHS6AJKhIyZh6vSX8fQz0/DM2Cn47JudiEvVIywmB1duxWP2gtfwHw/1xbvrviZA0uFqUAJWvPExlfFZvL3uW8p7Ll5792OMmTADU2cvwPOTZmDDp18jPjUH32/bh8HDnsHYcVMxfsJ0atS7Y8ashQgJT8Q7azbh6TETMXP+MowcOxnvfvgZrgXFYPmq9/HWewRJcTl3gSRlftO14GScuhiCk+ev49zFSzh7gXURZ+nzGXqXkvI1tXy2X3tzLf7rjz1w9ORl2IqqyFbJ4TZPUqttSQ7xxG0i2w56tTsksQsACUm/Ld1TT1JUNm5FpuOjL7ahU98nMHjUWEyatQQHT13Hlt0n8MpbG5CpzUdgdApefX8jFqx4C7HpKly4GYYFr7yBTd9sx+db9mLU+Bk4fTUEKbkmHCIwmug/n6BjDeYsWokZ85YRmIST8b+GDz/5Cu+u3YyNn23BitfeRXquDtEJKXhn7UcY+dxE7D14Bq+9tRGbPtuK9BwjAoJisXjpO1i5+n3ExCbh3fc3YNuuAwKSJkyeQ2CSgPikHHzy+Y946/1PcOTUNTG0FRCchPSsfOw/fAnTZi3Al9/vRlyKniAqW0DSy69twNCRU/Dmmi9w6UYMDhy/jqWvfohV73yK9Zt34OjZQCx/dQ0uBYQjOVuD7fuOivxy/v3nLsbHn36D3DwTbgZFYcbMBZg0eRa27TyMeQtX4rOvtxMYRWHDZ99i3NQ5eGf95wRu7+HN9zYhLDbH/XAbfebJ6d/vOo3hoybjj4/0wCOPdcKjnToLPdKpCx6i71JSvqaH6fl+uHNndOrWHZ269sM//ctDOH76ioQkD1KTA2pjrfCTtGTpy76zus013MY9SS+veB2x8Wn04IEgyQlIEpJ8Vvc23MYr1zLxzbajWLT6Tew5fha7j56nMInYuu80XvvgE2TojARTcfhu1yGCom1IJrC5cDMULy5dicWvvoXPftiGibPmICwuHrFpPDk6Fm+v/xizFi7C85P90LX3IAx5agwGDXsKM+bMxzvvf4T5C1fg9bfWIk9jwe24NGzfdRj+sxbjM4K1mbOXYfvO48jIsiAyOp2ObSU4+ggxcUl4f8167N61Dx99tBlTCECibqchPlGDHbtO4N01n2DP/qN47Y03EZuQhthENUKj0vD5tzvw1Xd7kJSkRyRP8r6Rijff+hzzFryK9z/YLPKz6bPvsfy19/HljwewdvN27D16hWDuU8QlZyEhJQPB4VHYunMXFi/n3qkxFN8Wyl8egoLCsOLl1Zg8aTrWr/8EvfsNRL9BQzFgyHAMfmo0Jk6fg/c2fIrFq9/C6x98JOZt8SrCG2KVW5rznVfUZSIwKhenL4dj01db8d66jym+9Vi3bp0i+ryW9MH6dVJSPqW1HyrPNb/PeHExfv/HbjjqgiRLHdRm/lPvvo2T6hi5IIl7kgorHXjppSXYu3c/yst9pCeJX+wZMyU1GyZLCT14XFgJSb6ue+tJ4lVrWdi27ww2f78dalsxUvLMiE5RYcuek1j93sdI0+gREBmDb3cexMdf/4j4LBXOXA+E/8JlmL/iVXz+43aMemESTl26glyjBScv3sBzk/ywZPWrmLdkBeYsWIHgiDicuXgFH3/yBb76dju+JNhaseptpGfpkJKhxocff4nRYybj0NGLeOvdjdiw8Tvk5OUjNDwZC5e8iuUr3miCpF0792EDQdLUaS8iIiqFwD9PQNW6D7/A6XNXsWLlaly7EQKVrgTHz9zA9NmL8M33e5GSbEBUZB5uBKQRSG3Gex98QVB1GqPGTMD8xSuxff8J7D5yQYGkY1fw0tLXcCUglOIxYic1CC8tXYYPN27C3JcW4ouvv4XZko/w8GjMmTMXU6b4Yc/ew1ix+g1s3b0PIVGx2LH/MN5dvxE/7D6kQNJagqSE1pAU0AKSeJVbTIoOOlsZ7EXlKCgoaFI+q5A+FxX+pPgaKSlvEz+7hSXF2LLzAP7YqS+OnLwkIckDxZAkNri9egN5eWrU19eLTpiOeLU7JHE5SsodYu+2pkJLSPJp3evEbV62/+Fn2zFi7BQy5u/hlbc/wr7jV/DdzhNY+fbHSM414HJgND75Zjc+2PQtogm2GZJmLlyO+S+/ik+/34bOfQdhyMhxGDZqPB4f9gyWrn6XDH4ujpy+ipFj/TCaNHbiTPjNWoxT52/h6s0oTJg2G8NHKXOPeg8YLs5fuRmB7XuO4ekxkzDimYl49oXp6NV/KJa98gZCI+Pw+ttr8P3WHVi7YROFn4mg8ARExuTiux+PYM36rxGfrBI9QyMoH6Ofn4qRz07GxGlz8PX3e5CcakR4ZC4uX0vCqtc2Yd1H3yIoLF7Mk1r48usIikzGFz8cwlsf/YiQ2By89f7HeOqZcRj5/HiMfO4FfPb1NiRlaPHtjwcwkMo46lk6PmYcHu3cE7PmLkQY5W8DQeCYCVMwYfpsDKWyvbFmIy5QWRcSEL72wQaExGUKKBK9SJEpyruAJLofoVkIF36SyqHmyarO36eKjITrM7sG4IUXd5PGwlI2oZSS8ljRs6yh57qlTAUOfLnlIP7rod447Jy4rWVnknROQtKvK65/Fq9E5OFPg7UMtQ3sXEgZreqIV7sOt/GrpqYO8Yl50BpK5d5tvxHdCyTdpHO3IjMJiq5h9Xsb8MbaT7Bm43c4ei4QZ69FYefhC2IO0q2oJBy7EIQD1HhFJKZT2NvYdvAY9p86jwu3QrH9wHGcOH8D767fjG+27kNoTCqiErOEzl8PxzvrPsNHn36HG0ExSM7QISYxh4AoDB9+8jU2E3wcOXkZB46eR2hUMmKTcnD8zDWs+/hLbN11GKcvXMfx05cQFZuMw8dP4/L1mzh76Rp27juM8NspYmn+ybNB2H/kEhJTNQgIjMSOPUcovW+x/+hZfL99L778bheSUgwIi8jBreAs7D14FQePXkZCipriuin8ssQk54ly7zwWgJg0A4IjE/Hdtj14a81a7D18EvFpKsQl5+J2Qi6O0vXrNnyCrTv3UZ7OYj+dj6V6iYjhVXeH8fbaj/Dj7kMIj09HYFQKdhw6LeoqOEbpOXJBUgA71mwBSWGxWmRpy+4KSSqWqU5KysvFbmj4WSbwbwVJByQkeaBaQpLayu6EqlHbqEzl6ahXu89JMpst9C/8PWrkM6C1s1Oo5obXXaVIeb/uBZJ4mIf9B4XGZiOKICGaoCEySSW+B0WTohTxvCV+56E512d2ysgKiclFWBz7JlL8EoUm5OFWtAICt6IzERKXi/AkNcIT1QiieG9GZQiFxOYhKkVPMlAY9lqdi8Db2QiOpfjoe0SinvKip3B0jj1WR+VSeirhvyic3lm8TJ/zxP6bwikvxwmWlqx4D5u/2gqjzY4TZ89j5rwFYsgrKkkjHGGyU8wQ9sUUoxbewoNILmeZ/JnTCaLPwZG5iGB/TUla4WAyJIquI8ji83w8Op7yHq9DBIFNCMcRlUVloPzHUz55PhTlOzBWJZxc3qLzvHpNeDOnOg9g55Yt7osCSRkESS2dSTrvJd1HlZkdSTZSI9UCnKjByiWDo6gZqqSkPF5ulvSzM8kvfziI/3q4Dw6fkpDkSXJBUp6lFrYKB/0B/RJnL15FZVWVkzTa/9WukNTY2ChWty1c+jKi41IECbZ+YFtXiJRv6H4gKSA8hb4nCAVE8OeUVtt1MBi5e2/6TBIetum7MoTUrICodAFNgbcpLRIDUkCkcy5OJAMDH6O80LvSy8IQRRBBIMFx8vfrYRQPAcZNVijFF0bxcd7p3ZWPIMpDOIHW3kMXMGP2IkybOQt+s+Zg4+dfISaFAY+vo7BUHy7v4Rzn9RBKM5TSJok0qF54uxX2H8Xpia1LCGBuim1YWp9nie1K6BjXA881ukZlvsoKT8MVCstbo1wPp7LQtaLOhfdvpWzCIzm9i3t0N0hyiSHJyGB0dyBq2eskJeWxkpDkVWoJSfYqBxYuW4n9h4/5zsRtRyM9gBqdc4PbJDF3gbs8mx/YOytFyvvlgqS2YORezYAiRNDh2sPNpVbXs2Fv0xvCuuO6lsddMOA63iaO5rQ4/TbXtE2rbVwk/s4rxG4nm5CSU4CUXCuSss24naoRgOYqmzJxWvncEsxcx8Uxrg9X3AQ3nCdlbzvnNQKIlHB3k7imKR4qV9uwXMcMlXyeynON0mAv5Pe1wa0AJ7rW9e7uGikpL5ACSYcJkvoRJPEGtwokiUVG0pmkR8jlJ2nxspdx5NgJVFRWdtiQW/tCEhWiML8A336/FWkZeRKSfiNSIKlcARSXwb+r2hr9ewnjeeJhK9HTQ2W4FZnapICIVFGuloD0k2oJSUJt6+ce1QKSfvq8snfbfUOSlJSPqC0kmYuroeOeJAlJHiOGJPaTtPLVNwiSjgtI6qhXu0ISvxobHbAXVcBkLRGAJCHJ99UESQIM2hr936ha9kz9nNr0VLW3JCRJ/ZYlIclz5Zpkn2esg97ugJE4oryqAdyJ5BM9SfziclTUNMKSXyYh6TcihqQ0giSl10JCkqdLQpLUb1kSkjxXLkhyyWApQU19owAknxlus1is+Ozzb5GcmiP8VEhI8n21hKSmuS9SHiuGJF4hmK2vonsnf5dSvy1JSPJcNU3cNtbCWOBAZrYGVTV1TsLomFe7QxJvS7Jo8QrExKVCZ+MCS0jydTEkca8EL5+/Fprm1jBLeYjCFEiKSjbRb5J+m8IwuL+vUlK+KAlJnisXJOUaasScpGUrVmP/QR/c4HbJ4mWIjU2Cjr3ySkj6DQjINTYgIasI18OyhW7wUnQ3RtrtnJxfQ3eZB6Rs28FL+JUl+DxBWykP+x5yle3OcB4vsXIukwCJ3SRkITmvECprLf0u693cTykp35WEJG9QtbK6bckyHDt2TECSzwy36fV6rFr1KhISUqG3NkpI+k1I8ayebahFdIqVDDEb5Oal9m6NtoeKISmAICkgjP0ysZfwXAKqXDqX4xSDklImbykf55Hh6GpIGgFiFuKzbMiz1EBlkZAk9duThCTPl8pci3yCpEWLl+LQoUO+1ZNUU1OL1DQNjCaeuO2cqS4hycfFvnPoXpvZU3O96FEKjdMh6HYeAtlDdLTK+Z7rFWJP18Gc58gcnL4UhQvXohEWq8LNqBxlo15xHb9nO9/vjMOTdIvKw/UfkWhAqqoUKjIIKqvrNymNgtRvSxKSPF/MDdYSYPuu/QgJiyKuqHFSRvu/2h2SGhuBkpJ6mMzlYhkf75UjIem3IOU+Myixp3WVpQE5phpkG1m1zvdqz5ehGjk8odlUi4sBiXjBbykWrViDlJx8Z3lc11aRKpFlqGxxzHOVS+VR8UIKFvceCUmjIPXbk4QkL5CRNyduhNVeitq6RnTMQJvyaldI4ldtbR1y1AaYbCXNcOSSu8qQ8jmpLLxnH4n3AXNz3jPUAt5bSQEJrb0B52/cxtPPTcWLLy1Eao6ezvHQMZ9vJHGXMJfvbvF4mFo1/pxvT743UlLtJwlJnqum0SdjHbT0Z9tgKUZFTQMaO2g+Er/avSdJp9Nj0dKViIpNlXu3SXmw7g5JDENaWwMuBMRi9Dg/zFu4COm5BgFPLkjKEz2kDIQUl9t46McuYMoDxHmVkCQlJSQhyXPVEpJspQ5s33MIUTFJovPFdyZuGwx4aclSRMcnQWOjhril4XBTKVJSHiUGHzPo2XXg/M04jBo7HfNfIkjKYUhywpG7cFJSUl4hCUmeLOUPnGvi9sLFy3Dw4GHfmrjNq9vmL16MqLhECUlS3qe7QFJatsH5HMtGVErKmyUhyZPVGpIWESQdOcIuAHxk7zaGJJvdjq+/347UTA3UNjYq0gWAlBdJQpKUlE9LQpInywlJlgbYKx14+ZXXcPT4ad/b4NZWWO6cuM2AJCFJyvskIUlKyjclIcmTpUASz/00FDoQl5AGg8mGhoZGJ2G0/6sDIAkoKmmEyVrVDEcSkqS8TAxJF25JSJKS8jVJSPJcNW1LYlIWyJjtFajtQEDiV7tCUmODA8XFZTh1JgC5mgI5J0nKayUhSUrKNyUhyXPVEpK4JykiJhU6U6Hv9CQpLgAMWLh4CWLieO82MjZGCUlS3ic53CYl5ZuSkOSJcg6zOcXOb20VDqxa9TpOnjyNyspK33EBYDSYCZKWIjo2ETqzA2qDnJMk5X2SkCQl5ZuSkOSJag1JPHE7v8qBxUuX+97qNq1WixfnLRQOoLRWKiw/eBKSpLxMEpKkpHxTEpI8WU5QMteL1W3zFy7B3v0HUe5LfpLY6VNUdBwMRju0vHWDhCQpL5SEJCkp35SEJE9WMyRZyxzYs/8wEpJSUFtX56SM9n+1KyTxq9EB5JfVQ2Mtay64hCQpL5OEJCkp35SEJM+Va+I27/2ptgJ6SymqnBvc+sScJH41ECWZCiqhs1eIgorCS0iS8jJJSJKS8k1JSPJcNa1uMzZATfxQWNqAeu556cBXu0JSA5GeyWLDug83IiklCxpLPRVYTtyW8iZRI0nPqtbWiIs3Y/HMOD+89NJLyMjRS0iSkvIBSUjyXDEgacxAnrEe1hIHvvzmBwTcCkF1dY2TMtr/1e6QZDBZsGjJy4iJS4bW2ighScrLJCFJSsqXJSHJc+WCJJ7PXFgJLF66EkeOnfKdbUmECwCjCYsWL5eQJOWlkpAkJeXLkpDk2eJpOhpTPQrLHViy/BWCpBO+B0lvvf2+2HNFQpKU90lCkpSUL0tCkudLY65HUYUDr6x6FYeP+pCfJHYczpOs7IV1MNtrkEuQlGNxApKEJCmvkIQkKSlfloQkT5biAkBtqIe5wIGklBwUl1SLjfN9YnUbQxKXo5QI0GSrFoAkIUnKuyQhSUrKlyUhyZOlQBJvZ6ale2G2lKKWXQB0ECDxq10hiV+lpZU4euoK0nKMYgIWT8SSkCTlPZKQJCXly5KQ5LlyuQBgZ5L6Ah52s6O8th6NvgJJTHs6vQkvLX0V0fFZ0LKfJIMTkCQkSXmFJCRJSfmyJCR5rlpCEm9LsviV1djvSxO36x2NMJhNWLRkGWLik6CxESS5AElCkpRXSEKSlJQvS0KS58kFR02QZKxFQYVDuBM6dPi470zcZj9JOoMey1e8QpCUDLWVCishScqrJCFJSsqXJSHJ89QWknINNXdAkk9M3OZXeXk1rgSEIldrk3OSpLxQEpKkpHxZEpI8T20hiXuS7GUOfPX9Vly/FewbHrddlMfbrBRXNMBgK5eQJOWFkpAkJeXLkpDkeXIHSbytmclejKr6BjFx22d6kuobGqlwhTDkMySxM0knIElIkvIKSUiSkvJlSUjyfOWa6qGyNMJsKxMuADry1a6Q1NhIhbJY8dbaj3E7JQdanpNklB63pbxJEpKkpHxZEpI8U7wdieszQ5Kl1IFzF24gNT0XdXX1Tspo/1e7QhJ3h+n1BixcxHu3pUBn464zCUlS3iQJSVJSviwJSZ4rFU/REdN06pWJ20uXY//BQ6ioqHBSRvu/OgSS5Aa3Ut4rCUlSUr4sCUmeLMXjNs9Jyi9XIMnnNri1WK1Ys+ETxKXmQGvhniQnIElIkvIKSUiSkvJlSUjyAjkhacGiZdh/8Kjv+EniV319A3J1JuitJQKQJCRJeZckJElJ+bIkJHm+eLjNUuxARFQc8tR6wRUd9WrfidukBnYBUOaAwVIpN7iV8kJJSJKS8mVJSPJ8sfsglsFShRre4FZBjA55tSskscftkrIyXL4WDo2+BCqbQ0KSlJdJQpKUlC9LQpLniwHJSPcpV52PsooGdJCLJPFq9zlJOp0eixYtQUxsIrRWnqUuIUnKmyQhSUrKlyUhyfPFw232cgfWf7QJFy5dQVVVlZMy2v/V7pBkNJqwZPEyCUlSXioJSVJSviwJSV4g5wa3i5e97Hur23Q6HeYtWIzo2GRobGgGJAlJUl4hCUlSUr4sCUleIGM98sscWLhkGQ4dUVa3MV90xKtdIYlf5eUVuHEzCGqtWbgVl5Ak5V2SkCQl5cuSkOQFIkjiDW7f+2A9zl245DvDbfxqbHTAVlQDnaWMDAo7kpTOJKW8SRKSpKR8WRKSPFctN7nVWQGtuRTlNY2+M3GbX8RIKCpvhLWoFipLPRkVCUlS3iQJSVJSviwJSZ6rlpDEshTWorrB4TsuAHjM0GQy48NNXyIpQwO1jY2KhCQpL5GZfpgWfpeQJCXlq5KQ5LlywZHG2ECABFy8GoisPJ3vOJN0rW5bsHQVIuPToSFDIyFJyrvEz6yEJCkpX5WEJM9VEyTRfSgqBxYvX40DR076zsRth6OBIMmAJUuWICYuAWp7PXIsNRKSpLxIEpKkpHxZEpI8X9yTVFgGLFn6Mo4dPYHKSh+CJL1Bi9WrVyMhMRkqe52EJCkvk4QkKSlfloQkz5eAJO5JWrIchw/7mAuAhoZG2IvKYKUS5lob5bYkUl4mCUlSUr4sX4AklRFCeSaX3F/XfL6t3F/nGu5qOu6y3S61PPcA5UrXVS52Qm0tAU6cuYzk9BzU1dU7CaP9X+0OSY1Ee0VlVdBbCpFt5p6k9q9gKakHJwlJUlK+LF+BJA1Djflu0OOS63xbub/OkyBJQ22tJb8cNfU+tMEtv5j40rPVMBAGai1c8PavYCmpBycJSVJSviyfgCSCI5WlhRhwBFw0CpurMtU5xZ8bkGt2IIekNtUSXNUg11KBHGs5suwlyMwvRra1THzPM1dT3DxF5tfxceiCJZ64bbQBOmMBajtwZRu/2nlOknOD26UrcTs+TUKSlBdKQpKUlC/LlyCJy2IrU3bMT0gvRkBoDq4EpuFqUCpuhmchQ10Ja4kD5lK6tgiwFJMKgbhsMy6HJeJSVDySTXak6PKRaSqh9q0aGkstxf/rQpLaUI+CUgfeemcdTp+5hMpKH/G43dhYD5PJiCWLX0ZsbIrc4FbKCyUhSUrKl+ULkMT7otrKgXgN8O0RI+avq8awOUZ0GpeER5+Px6NjY9FpfAKeXmzBix/WY9uZKkRmNSJ/607krX4ZKRNGI2RgTxx+8e9QEDwX+enjkJ8zBkW581GpewX51muw2m4TiJUix0KwZCR4MbobpnvQUob91IZaFJQ5sGjp8qYNbn1i4jZDkt6gw+JFyyUkSXmp2kLSNCxYsEBCkpSUj8ibIYl7kDj/DEnHLsRg6uJ9GD5lK/pPiUXfKTno45eDvjNy0dc/G31mZKHX1HT0mJSCkTMOYOqi/dg7diouPTsSkSMHIfbpgTi9+F9RFL4ABZnjYc0cDUvaTBiT5yAr7RDUmiDkmot/FUjSmOpRWO7AYoKkw0ePCUjqqFe7QlIDkZ69oAA7du5HRpaWIEkZG5WQJOVVMjugtTtw4eZtjB47xQlJBvfXSklJeZW8GZIMlHfO4wffWzB8+k10naRD12ml6DyjFp1m1KPLdKdmVKHz9Ao8/0IY/CfexOmn5iNy2DiYBj6Bwsf7onhAbxT264nIeX+DsqDnUJXZA5XZD6M2swvqMrqiIrU3ylP6wqz6AfnWy1BZCgiWakTanA9ekCUWZbXJ34OSxlKPggoHPtr0Ka5eD0BVdbWTMtr/1b49SSTuEistq4HFXioKKiFJyuvUApKeoX9eynCbhCQpKV+Qt0IS9x5xT9Jn35/ByOmnMGTKNfSebkaPGRV3haQJU25j3owwXBqzFDFPT4R54MB7gqTq9P4ESv2RlfgJ8rKPINdk6zBIUiai10NPbXCu2oCyiqoOG2rjV7tCEr8aGx2wFdTCZK0ShRUFl5Ak5TWiRoCeVa29sRmSFixCRraBnmc+17IRVbqGW4eXkpLyZHkjJKmo3TEVA98cqcaIWcHoOsWMrtOr0dmvhqCotlkzqoV6TzHh8WkGHBqxChFPTYXpiSEofmIAwVE/0k9BUieCpM6oT++MurTHUJnWFZUZ3VFg/BbFBaehsRRQG1hHeWq/elIgSXEBYLRXoNKXXABwQQqLy7B95zGkZZokJEl5j8TmtvS80g8zl/7FaO0NuHQrphUk8TPM55rDSUiSkvI2eSMkGQqB2HQb/FYEYdDUa+g13S4gqRUgOSGp8/Qq9JtmwZMvFuDkc28h6mk/mAYOQeGA/k5AujdIYlXzcYIkbdYm5FuOQ2sppHawfSGJxZDEK/Gu3ApHeq4edb60wa1eb8BLi15GdGwK1DaGIzncJuU94n9s/Nxq8+tx4Wa0mLitQJIOKmst1FZ6ni119O6ZjamUlNRPy5sgSfgMMgP2UuC77efwxIwMdJ9WjG7+7nuQuk0vQze/EmwYuRH7n1kN1aARAo5K+vdHKamsX1+hkp+BJFZN+mN0/FFUZj6C/JSJqNO/DKM5h/JTKiDGXX4flDj+ggpg8bKXceDQYVRU0JcOerXvnKTGRhiNJixctEJAksZGD5yEJCkvkcrsQESiCZeCkmAucSg9SU5IytUYkakrwoVbCQiKUUlIkpLyUnkLJPH8IwYknRXI0dXj7bXbMdA/Ez2nl7qFpK50rLsTkjaN2YxDz70O9eCnfzEkCVDK6iRAyZb0AiryFsFo6jhIyi9HKxcAHfVq356kRgdMBiNWrHwNMbHJcuK2lFdJbXHgyq14vPfBRly5HoTrAUEYO26CgKSUlDTs2rMXb72/HqkqC0FStZi4mNtqjpKUlJSny5t6knLIbmoKHDgUCoxZFolu0yzuh9mcesy/BJ1ml2D3mHcRPHIWTIMGovjxngRIfZoAiVVKkFTcBEljUZXVHZU5f7oDkhoyu4hht6r0XqjKoHCm/SixXidQYseTDcKLN8td3v8csZ8kdgEw76WF2HfwgO/0JPGkpNrqGiSnZEBvtEtIkvIqMSQlZpjw7pqPMWnqTPywdSf8/GZi3rwF+O67LZg4eSp+2LEXOnslVNYqCUlSUl4ob4MkbaEDWy8BTy0IQ9epyoRtd4DEeoQg6bFZxdg75j0Ej5r9Z0OSa24SQ1Jlem+UGvd1CCSxnyRbkQOXrlxDdl4u6uvrfcOZJL8aqRwFlXXQ2pRKbCU3lSEl5VEyVOHYyYsYOXosnhw+AqNHj8GwYU/S56cwbdo0BIZEwphfS38AatysdpOSkvJ0eRck1QtI+uYCMHB+Oh6bVuxc6u8ekh7zL0OnWWXY/cxaBI6cLyZs8yTt0haAxLrX4bb6jMdIj6Iu81HUpD+CSvPXqLAfhc5c2D5Dbk5WECvcSDprMSrrG3xrg9uKyiqExCQg12iH2tpcaAlJUt4gva0BEdFJmL9gGfr3exxDhw7H4MFD8eSTT2HdunXQ6Cz0w62E2lzlfK4lJElJeZO8DZJ4uO27KwRJC+4DksasQ9CoBT8DST0Q/RJBUsjzqM7q+ZOQVEuAxJBUZfmmQyCJP2usgLmwAtWNigsAn+hJcjQ0guckrV71BuJ5g1sr70gsh9ukvEdaAvv03CJ8+vkuDB70FIYPGYmhg4Zj/PhJOHTsJArK+F9OvfN5li4ApKS8Td423KYmSDoWBTy7IgRd/YzoMqOSgKjNxO02kLRrzHrcGrWQIGmYWPJf2t8pBiYWfS7o1QOZy/8BVYETUJvRCzVZDxMYuR9uq0yl85kDUGo+iGJbADTmMmf+INQ2379cSpvq2uD2s8++wY3rgaj2FY/bysRtk3OD22QJSVJeJ7XZAXM+j4WHYNTI5zF44HAMfmIYFsxfjOi4JFiLqiUkSUl5sbwNkvKoPYqxAXM/SkB3f4vwpP0gIMnavQuKPuyMBoak9J4/CUkVKT3RqBmGcuuRDoMknri9ZOlKHDlyAhUVvrK6TfhJ0guDEhPDkCQ3uJXyNjVAb69DTHIWlr2yGn36DcCQQYOxdt0GWIorobVUEEgx/LN4qSq/8x6Fnq6Wjb+zURO/yfY2ChR/h6TT3pJA7CvyJkjiZ45dAVjLgB/2XsTA6anoPjm/yds2O47k5f+dxLYkCiR1Jkja88x6BI1cCDP9wWMgcjmRdEGS6Ylu0D3eBbWHngXCp6E+tR9BUddWgMR+kmoIkKrTOiE/eQLqDStgtuUJFwDcTrbP76E1JC1eshzHjp5Apc+4ACBIKi4uwcGDR5GVrSGDovg7kJAk5T1qgMZSB625HNt27UXXbj0xY5ofbgYGU2PKc5HKm6BDQtK9SEKSlGfJmyCJAYmfO85zqqocE1cXoNukfHTxIziaXkuQpDiRvB9IKunXC+rej6Jm3hTgykwFklL63gFJCigpkFSZOxON9tdhsqoEJHGb0j6/B6W8LkhasWIVDh7wIWeS/GpocMBeXAu9tby54BKSfkNyGkXSnYbak8RDZjwU3FbstqKBAL8B569GYcQzk7Fg4VJk5hmhtdVQo0VqE1fT891Gba/zDDnhzsiif6kk9/fxQctXYEnK2+UtkJRr5PwobQm7GzEUO7D7YhXGzLuIblP0ojepK4ESy+Vxu5N/6c9CUn6vrsiY0glVOxYCicPQkNGDgIg3tm0BSJmPiRVt1ZndUZXZE/mGHSi0X6U/kEWUH2on26meXG2ShspuslPbpLWgpLxWrJr3GRcAXI6yGgdM+VXNhXcZjhaVIeV7Uv71sDHk/c0U2PBc/TQk6WyNSEgzYsOm7/DJp1/CYC6G2lLVBpKUcjY9323UfN2vLCPl0Uhlo3cVN7zGRjIIDqg7ApLMLZ8LrheCtHuYw5BLeWS5O/dzEvG3g++We9UvSb+pjn5hmVlKfbUO39510ZTvNul6srxquM3ZljAkqe0OpFiBj3fr0cPPhEcmlqKLX829QVL/Pigi2Xt2RdnjfdD4ySzg3HtoJEiqT+/uFpJq0h9GVUZ3NBoGo9i6r8MhiWW2laHGpza4JUKy2Wz4+qtvkZqaJZ1J/sbEDSa7fTAWKd3D/FltaYTO4rhv6UkGatzbS3oy1jpqeNpKTzLQs2qivGeryhAQmIaQiBwYbVQmaqD0VB4+b6R3Fn92Kzqnt3qGdHwPrJTnwkaYCh30u3QBFN2zNvfwbuItW9RUfrXTf4mQMJDur28ShWN/UipKk/fE462KVKKRvbf2gNN1pXevxt4FBvx+32HpWi6nip4/Jd91UFldk/Xdh3HJla747IrH9d2Zl7vF0TKvLt1rnlvq59JxJwFXdP0vTbtt3n9JvjtSXgVJzuEnFtezPp8Agp6rb44UYsy8y+gyKRtd/QrRxelgstNdhtvs/XpD36MrEid2Q8XX84CYEXCk9iNAUobYGtIfQ2P6o6gnWOIhtpr0vqjNGACjdh9MtiCozQWUfg3lo33rxwVJ/AfUXORAfFoWympqfQeSeO823uB28eKliI1LEo1xnpEqloyGhCTfFhsDHf2A8+iHdO5GEla+8xUm+K/CC34rMHHaL9Okqe2plymN5W41ya34es7Xy27OuZe7uH8NTfJ7Gf7z38DGr/YiPF4DLQGTsqiC7lub+9gkup9s5DUEh7nUYKWpq5CcV47k3HKkqiqRY6wX5xia3IXXOGE5Q1uGwNtqXA3JwLXQDATHqJGuKRW7mmspPDf8rcK2SDfHUIeUvAqRJos/8zE+54KPluK42IDo7By2VoRJyikT75x/7iXkcwxA7sLy82sqBuWvHEG3tZTfTFwLS0NwXA7FV0rGVMlzSwgQgEHiPGsp7mxKN4XSS8wuFWlzXeWS8RV5dgMQIs90jpWpa84zi8vLPZVKPbUO5wrL57hMWbqaVmE5XRW1uT+VritsZouw/J7qTPcn65nOcXnbhuV6ZiC+W7qeIG+FJJe4btPpWT13G5j6PtB5Sj7+83k7/vhCCR6ZVgzemmTX6HUIeHIeVD37wdj5URQ90R8N/tOB3e8AZ9ajMeYpNCb3Rm2a0nPUkPYo6RHUpCmTtR25TwD251BQeAqWghDRg9TRkFRQ4cCSla9i75FjKPel1W1Gg0W4AODVbfwvViN7knxe3JBqqMGMz6vE2i256DopB4+OV6HT5BJ0nVqGrvTDdanL1KJ7FP07mlrQruo6rdCNikilbkRlaVGOZvH17uJp//zflyYV4NGxNjz5ogrfHTMjgxpbxUWH+9+lxsaw0oDoJAuOn43Etj0X8f2OU0Jb957H0XPBiErSkCGspesaBQjw9gRsQI3UgGdR/PuvmDDjtVj0fOE2HnkmC38cRXU1TocJK63YfZmuIbBQ03PTlC4/R2QA8qjNiEjUURpB+HHvGXy/6yRJSff4+XDEpJihIeDRWLjBVhptl9HPM9ciPEGPw2dD8OOec/iO87zrtAh74gKFTTXRv2ICLWdvmiu8hvKcTg3zztMWTF8RiF7jYvDfoyz4z1FmepaL4fe2DQcDS5FKec6lPGdzOIIjBYC4d6wGYXEqMrpB2Erpfr/jJH7YeRLb9ynpxqZZRT2JjZFFW8hhFEhRU55DYnJx4MQNyrOrvBT2wHmcuhSJpKwCAhLuiXO2paK+GukYQZqpgsAzAwdOBuCH3WeV8u48je37L+H05dtIyLArUEzAwkOsDMVqSldvbyTwK0NQdBb2Hb9BYSnPO89iy64z2HHwEs5ei6V0C8UzIHrRnPXEw6WcbpauHLciM7H/RIt0qZ6VsLeRlJ1P94PvEeVbrAZ13mMPkHdBknsxlPOfkGx6fk4GWfDB9mJMXp2MPn7B6DE1COvHvo49ExYhYekyWN9/GyUXzqMhOxP1xr0oVX2C/KzFsKTNgjF1tpApfRbsOfNQoHoHZcaPYLHchtGaTc8oAXM7Dq+1leuPm4b+hBWXEST54uo2nc6Al19ehbi4FDF8ISHJ98V7njEknb6Zi2FTdtKPVIXeMyzoPr2SVEEq/QUqQfcZxSP1WzgAAK/QSURBVPelbtOL7kvu4ug+g9KdXu5GZaQHk89fQz0orz0JWHtNiMeU5cE4GVAGQ757SBL3kyApJFaHXYduYPuey9h14Cr2HLqC3aSdhy5jGxn/XYcvkaHMQi7PQaMwOdSQ8vBqnqEO2w7H47kXf8TASSfQf2oS+k2zoNeURvSZYkOfiUl4bt4V7DgRj2zulWDwcM6n4R6qW1Eqivsatu47S2lddOoSdh68LIz/3qM3EXJbTf84lfljHJZ7tBhYRNgjNyh/FObAJco/5f0wpUXGeyvlec/R6wiNUZNBbDaKojeF4vruQBDGzd2G4VMO4fGpKeg1tZrqrArdJleg96QwPDP/FHad1whIyrM664pBj+rqZkS2qJcd+y9iN+VzN6W3h7SLtG3fBUo3gODNKOqWh/E4r9yjpaY28kZohsjftv3nqIyu8l6kYxcE3O0/fgu3Ge4IkriXhsvLYbnX6nJQIl13jsKep/JeFnW0i+/RwSvYtvcSDp4MckIl1RH36lBYXnWcTZBzMSCWrrtEdUrp0fW7Dl2jurqKHVRvW/dewOHTIYhJsyhGksIr9exAhrYKF24kiLT4Wk6P65jFx7ieD566RWDIQOp58OELkMRiyM6iZ5EYGgn0HqwGzqUTNKUAhYHZQEAyEB4BRIbSP4BUujADjaZ9aLR9D0f+u2iwrUad7TWh+vxX0Vj4OhqKPkF90Rew2mJgsufQ/f71Ienw4aO+4yeJX7U19UjLVMFgKZYuAHxeSi+Alv6VhiWXYsaqMAyYfIsApBrdZrR1dlZHqkdnv7p7VC2p5r7UOr1fW5Sn6VUeoy50P8RKmKmV6DyxEG98V4FMG5BDRr71PeWegkYkZFlw+MwtYXxdBrCttu2/QMYwUBhhrY0aUWpMjQUNuBmaAr8VN9Fpgg7d/YrFKhzh/G4G1QuJ8/PYRAOeXWnG0RCCDIK1XEudmLPEMHDwJKVLcCBgo4UBZu2k71v3XsSRsyGIT7eQoagl4ODerDpEpxpx4HQQftxHQNUmnEtcnmPng5FI5dPYKinPNWQ0HThwrRLPL0tCjykZBL4ExDPoGRb3UXluu/pV4ZEJ+ZjyhhbnY0qgojBsVPV2ByITtNh3LECAzm6CDJHWIXpn6OB3ke4FHL8QhuScAtHDwkNhOjJu3Pu099gNEbZlPhm4XPDB0HHiUgRSVEUCXkWvWT4ZxRgVdhP0MajsPsIwyHEoUOiKgyHrzNVopOWVOEGJ56c5EBydI8Jsp3y5wMoVTgl7EVt2n8LZ6zFIVRdTmkrPF/eE3YrOpbAEz/s5rTblpe+cLvfinaOwGZqyVj1+niDfgCQeClXEn3PpPZf+KKh4HihJRb8HlbWWzvNik0po+DdiqIHaWEWfeZVuFf2xoeffWkYqbZalmsRTZJQFKWojA4sCLu7z8aCllEdNfwDsxQ5s3bYPIaG3UcPzknxhdZujUXEBUFhaBa2pQACShCRfFv9IeS6SAwG3rRjpfxaDZ4QKo9j1Do+wirG5d/H1LcN7mxgKlBUnniEFkroToHSaUIAFHxpwO7cYajIYre9poxg+YuO98yAZ0EOtjXdLsXHdffgaboZnIVfMPawTvVMHjl3HU36H0WOaBT2mlzRDUst6mWpGP381Nh8oRjaDDkGShiApMCpH9GzsorhdPVet0iVjvOOAknYQGXoNGTcxEZxg50Z4OrbT9TvoGgFJzl6kllJ6pC4gJCaLYIXnKdUgXVOJD3/MxGD/YPSZnkN1VE6AVCXqy/XcMvh3mVqKgf6R2H4hA+pC3sKGnn9jLa4FpzkhoTkdrpfdh6/TZwUiOL97j1wXQKUlA8Y9SPzbuRyY2qo3pgmyOIwTlPj8/pM3BQSqxJAd91414lxAAgEU1RVdo9ynZkhyhWU4O0BhY1IsAgK4PWZYOnstBtv2nWu6/k5dprDnsO9EAG6nmSivCjzkUHlPX4tVAMkJRXz9Tq7zg811sP3ARSrvNSRkWMWQm4SkBy0FJlxq2o3fZWsttQJ2WkISj+owIHkDJGlM9WIkKr+wCrV1Dt/Zu41LUl9bD4PFDkt+qehWbrppLLeVIuXtYki6GWPBKP/TGDo95C6Q5GnQcDdxvn0R2hR1pTI+NqUYfmsLcDmjBllF1CgZnXLeT/53GhytEUZPMXzcI+JSCyPOPRCk60HJyNFXiMbVmN+AAwQIT049hp7Tiwk4KpywoTi76+zKyzSCtUkleHdLATK13FNBDbm9BjcjUrFt72nsPnjRPSRxugQAPF8nMCoNWrtiDHLMpbgYHIEf95/CTuc17iGJoeMKQVI2ha0Q6fL8mdc/y0CvKcno4Wdp6pV0La3u6l8lepa6+1Vj8Mx4bDuXTZDUKOb6cN7P34iiOC9Qegos7DrYop4EPF2j4wRNxwIQGqejNAl0CHKyjdW4eDOezhHoCMDhnqjW+eXwfA92H72GkPhc5BIQKqvIGnE+IJHqgXvNeJiNruV0W0AWS/Qy0bGoBEMTJHFv0tmrtwUE7T7SfG1b8f3luCOT9ZQeg2gdckzVOHE5AltFD2MzlCnvLb8r9yAhwyTqSULSg5YLjhqFewDXseaJzwrYNEu5967vTfG0sc1NsNXymg6VUi7OE/eI6UzFqK5r8CEXAI0OGLR6LF2xClFxyfTPUCls2xtxr2JnWopDLffn20u/Rppt1TYPnpAnd+J/wzxcERBtwcjppzD0rj1JEpI8Q1V4dEoR/D7IJ0iqdg9JZIRDYjTCuN+pFkaYjCBDTFtIOniEe5KO3xWSxPDotEp0nlyC9wiSsnQlAlbUtmoEhKcISNpz6NJdIYnF83UYkjTWagKHaickheOH/Sexg6GB5C6cC5KCb2cJSFLTv+mkbLsTklLQY7pV5JXz3G1GnYBK3lCUe5a6Edi1haR0dRHOXY+keBl0KA0nFN0NkkLitE4DQIClr8SFgDhn2NY9QU1qCUlxCiS5epIu3FQgqVW6bSCJQWfPkWuIZEhiOGsBSQyaLa9tKxckRacYRC/f/UCSAm4SktpP/Hv1XUjiFbW2cge+/HYHgkJjxHBbR73afeK20WjEwsVLER2b6Bx756671jfiXuWCJBcguDbTcynbzTGWK3zTA+J6cNgQkPiaXHoQXH6cFB8o9XRceUBc6TWn615t03F9bzou/vGxeDyfH1Bq4Jz1IMaT+d35mY8p6SkNaB79c8u2kAGw1iKb6jDbVIssOu8u/ZbHWsp1/t7lrDtxv36+seAxcK5HAUm3LXh65kkM8Q8RLvPvhKQHJzZgLsPbLBeE/bnpth0W/Gk4YqMvjD/Pt3Eec5+/9pKr3Pz5XmCuGo8SnPitKcKV1BpkFdLvQTRKLX43FgdBBPckXSfDy2oDRy4xiBB0XA1ORpa+XECSobAB+45fw5PTXT1J5VQXCjS76kXUDT0jj00pxbvfFyBbU0y/AwIWhqSIVDFhWwzb3CVdNsBs4IOi06GxMyRVkEpwmXuS9p284/qW4rDcuyIgycZDEdVi9djrn2XeAUmszvQ8dfJ3AjTleeCsOPx4Phsqgkst/dPNUJfi/PXbVFdOWGkjhjyeW7WHQGff4Rti0jjDBg9BZetaQlIbOGohhg2GpODYPOQYqb2i9kJD9+hSQIoAPndhXHJBUkSClsJRW8xDLdS2nL0aje37zmH3z6TLeYtKUVMYZcJ4jtEFSRfchuHyMtxyWB42jSNI0vCqPAEgd7Yhv4Z8ZeK2b4rsIttDo+ICYOHCZTh08JjvbXD70qLFiIn/8yGJxZDBPVLC74b4B9X6vS0gsZrCunQXSOJ/OOxZmZcN68jQ87JeMfmNzrkAieUOQFht03F9bzpO6Yjl8ZRXXvXDKz10thbn+F1cy3lWyshdjBp7I/RkvDT0rzzTWCnma+RRXu+WftvjLrnOu+SCsbvLeV5CUgtJSPI0SGJxT1IrSDIV41JQuISkNpKQdKckJHmy2GaynVYgafGSFTh29JRvuQCwWQvw1dc7kJbB49gMIL/8x8HLejXWRsRnFiM83oToZCNup5gQlWhAXLoVervSWDR1JbpgiMKytAwezolnyuQz5TqOm+cFZOtLcfDkDWz89HuYLBXQUgPESw85bJ6hRb5dkNdWrvNOKb1GlBbBEPca8Tv7ZOGVNN9sO4pDJ6/DYKdGTuSjkc4TFNG7lq7T0480R1eAb7cfpIbvCAqreCl0MvxeXI6jlEdTfj1d7yqDUr675aO1eJl3PT10zem6zrWFpubv/N76XFvlkhjEXJDEc5IeLCQ5jT8ZWM9buebNkpD060DSFewjWAmNUdFvliGJgENXg4sB8XSd+7AuSUh6sJKQ5Mly2h5jLexlDrz+1vs4dfo8QVKVkzLa/9W+E7fp1djoQEFBDSxiee29GPG7i3th0lSlePX979H98fHoM2g8+g5+Af2HTsScRe8iLo0dpTEUKSs23EESS03AI4CJr3H+WNnfB0+6fG/Dtxjz3FRoDcUCkrQESQwvAkKE2KcJT1okwOBhs1ZSDIvr3ZVnAUgWdqRWT/mrF073ZsxbjXfWfQmjgB0lH8omo5Q3giRTfiOSMzXwm7MUC1esRlF1A4Jj0jBv2Zs4cfYWLPlKGZWwSvnuVr8KrDnVBFYMbpwnDsc9ZUpj4AIj5VpXOfi9uUzulEv1wn5x8iichKRfLndlE3N2nGp7zp3ur37uD5IUUJKQ1G6QdDOBrrs7JLnyu4vCSkh6MJKQ5Mly2h6CJCPZlYTkTJgt+WhoaHQSRvu/OgCSgIISB4zWOuTqnb0yv1A8QTGdGtCXX9uMRSs2wGipgN5UCoO5DBZqHE351bAQkOUZi2EurIG5iBpMQwGBRDGsJXUwFtbBUtJA11BjSL8MjakAtpIa6CgsN5BZuiKs//Q7TJ48GWVl5bDnlxEs2aCxFtAPpwoGuklqHupy5oW3UtAX8MTHIoKbIpgpfVM++2ih/BKs8IRI3hvLVMTHSqGy5sNcWoXEDB3mLn4N73/4PUwUJw/xGemHaqbPGmMl1Do77AUVyMzW4cV5K7Hs5RUoraqGsaQY8ZmZ0OnzYcuvhI7Sy6Oym8rqoKPrc/Q2aqhLYCyqp3NK46l4LXZQXhspr1VkQIqgtZfAWkb1U1JF+SqBwVYLvZUn2bKobkw2CpcPQxGVmfKuogaD52i1vR8t9cAgiYxQt5nV6DGnhlSJrv7ldKwS3fwr0HN2CbrPLKNjFNdPDKOxMetJYQbMKkLfmUXo4V+CbjPK3F57NwnQmEHxzKxC/9lF6Edp96K0u/mXCSPJxrLperquq3+dUHf/KvSeWYyelGbXGQQElI+W8d6TRLqVIt0+s0op7xXoPL0SnSn+lsN4LcV10n12NYnqemaFqLN7gyUJSR0LSZeVlXoMSW2G23L0VWJ1m4SkjpWEJM+Xa7qLyVaJmjof2uAWjQ6UFpfh9IVQ5GpKhCv8PweSuBeEIWn5q59iycqPYCfoYUhiWBLAZK1AYroCIAeOX8YHH3+JoaPGYcyEGfjsu51IybUiLDYLq95Yi+F0fNxkf3y7dS8ytYUwFTcISNrw2RZMnDgRN28FYuXqtzBqzHhMmDEbX2zZQdeVEvBQg2SjBtHOw185eOXtTzFq3DSMen4q3vlgM4IikglA+DxBVD6QmJmPDz//AWMmzsRTY1/A62s3YP/xSwR66/DBRz/CQkaJr0vNLcKnX+3DuEnzKc0JeOPtD3HydBDmv/Qqlq9YiZKKSoQlxmPJqldx7XoogWEJjl8MwsKV7+Lk1UDMf+UNDBn5PKa9uJgao7P0UJULz8G8/5TKUolDZ4Lx4tLXMPSZCZg2bxG2HTiG8zdD8Pb6zYiKz4O9pBGxyRq8seYTjBw3Ec9MmIp1m7/F7VSVgJ6OgKSuvHrIvxZ/mliIf3pahd8/p0UXgpIuBB7/PcGGfxmVhf8abyKIqiMj5SY+Aohu/vUEGI1ipdQfnkrBv4/MRFe/IgEdd1z/E1LyUo+Hxtvxb08m4/dPZ6DTZBuBWpVbSOo2sx6dCEr+63kLfj8yC3983kDARJB3n5DE+ef3/3zWiH8dnoh/ezoTj0wqIPi5c65TS/WYXY/H/Eqpzgx4eEoh5edeAIklIcmbIInFwCEh6cFJQpLni0c2eNuV6LhMsvnFvtOTxC4A9BodFi5citjYZGpEeGhI6Yn5aTm72JqkHOfGOoMa0CWvfoJFqz6CjWDEWgKYuUfH3kgNRTHCYpLx2GOP4fnnx2H92k9xYN8JfLr5OwweMhLzFyzGkqUrsG79x9h/6BjWbvoM/YY8iU1ffon88krkmIux/ost6Pv4YMyYMx/vffgl9h49j48++QJDho/CkuWrhb+n/NI6RNxOxZhnJ8F/5kvYt/cItm3dgxnTZ2Pc+Em4GRyGorIqxCdlYfrMeXhyxNP4+pst2LvvONas2YQxYybj+bEzsGHzdtiKHciiJ2Dla+/jyeGjsfnTr7H/wBF8vHEzJo6fglEjnsErlG55aRWuBwSh34BBOLj/OAzGAny39SD+8+FemDxrKT7c/AN27j+GN95Zi6HDRmDLDzthK6iCxlCIH/ccxZCnn8P8Rcuwc+9BfPnNj3hx/iK8QDA4YdIkREREQaXSYtXrb+GFSVOxbfsefPf9VkyZ5o+FS1dCZ6uge1ctAPdukNsMSY4mP0n3B0k16E4GqMc0O/6j71n8//7f5/jDiL3oPSMS//50On73+x34i79bhn/svQc9X+SeElfPEMGMXz3Fz+BUjZ6zKtF9qgn/u9cx/OUfF+OvHnkd/9zzSzwxKwndZnA+qlqk6U6UT4qnh385/jgmA3/x2A78VZdX8D87v4Z/6vsJ+syKQtdZpXRNOV1bj86ULsNLF/8K/MfoTMrnV/jdP0zHv/TbjIEz49DXP08xqO6gzqkmUCBxj9l/jEjFX/7X1/jbLi/j7x5bhX/usQ69/cLRfSb3TFHZxbVKPjne7gRW3SZp8C9dqI7+dRP+MPIC+s01NMX/03owkCSMIRtgemcXANkSktym1wxJl3/RcBuLgUPOSXpwkpDkuXLZHJ4akl/uwOrX3sbxk2d9Z04SQ5LJYHJucJtEjQjPhfkzIMnZk8SQNHbqcrEf0N6jN7D/eBACI3NgI3gJi0lB165d8f57a2Ckp7+goBI2ezlOnb6Mrt164ZPNX8JktiO/sJTis+OLH7bhqTFjEJWYpEDSZ98JSDp0/IwyZFdQDb25AIeOnha9Srv3HYbBbMHyle9g3vzlMBgKUF5Wi7LSGqSlZmEOwdXrb7+HgpIK7D98muBqNC5cuoKiEh6+qxC6ERCJfv2fwuavd8FeWkEN5ik8OWocThw/h6LCChRQ3szmfBw9dAIjCM5WvvwqKspqcP1GIPr2ewKHDp6AkSDp+22H0KXXEGzZfQIGHmqksNlqI9Zv2ITxE6ZBpbEjLikHMxe8jBWvvw+zvQj5xZSPonLExCdjzry5mDR5CqKjYxEXn4QXJvth8xffoKKqDrb8Ypw8fR5vv78e8RlaAqWOgaRefvn445Br+JcBx/DkknAMmBOH3jOLMGBGDnqO3IPfP3EYvebxthruIak7wc2fnsnCvz5+BqMWn0L/aYfxbwO3od/0OPSYyYb53iCp6/RS/OfodPzhyYsYs+w0ek7Ygb/ttRGdJwWi+2xKuw0kdZtZhT5zSij/cfivIR/i9wO/wqBZ8fcPSQRBvWYV4fHZCRg5dz+6PPkp/u+j76DLBErXDSR1pXh7+DfgP55Owl/851f4Hw9/T7B2CQPmGZvi/2lJSJKQJCFJQpJnymVzGJJ4dduiJS/jyNGTqPCF1W28so2l1eowb8FiRN5ObN7gtkUltFZbOHJJOc+QxD1JS1dtRO8nXsCCpeswd9EazF++Hj/uuUCVWI/w2CT07tMTBw8dQn5BI/TGSpgttQgNT0PX7j1x6uwFMXdIayoVjeK562Ho238gblGDynOLPvz0Gzz77DhYrEVirpLGWiXmMmVqDJg1Zx5WrX4dGo0Gk6ZMxtw5L+LMqdNiw73DR45hz75DWPHKasx9cQZiYyKwdPFirHxlFQqKK2G0lgr373rKS1h0GsZNnI1Nn28hcLFjw4YNeO65sTBTmmZrCeW5nPJei8wMFaZPm4tVFGdlRRVu3AwgSOov/ESYjHb8uPUAhg4fg/jkNJjsZZT/ejIwJfj2h11iyC4tIw8nTl/CcxNm4Py1EFjKqGGzVEJlI2NoyMfn33yNydMYkiKh0Wnw9nvv4skRI7D58y8QFnkbRWXVqKwFrEUN1GBUN90Hd3pgkDStEA8NDsI/DriBHkuK8NhsO9jDMRvYh4bF4O8HhKPrAjKoM9vOMVKgocc0G/406Ar+tvsxdFtmwCMzM/H3A2+g06RcghvugSK48WMDrVx/J7zwOd5rrpJgpZxgw4ZOU0Lw/3X/Dv/y+BfoPycGXWeWKPHQ9S6j2WlmJR6bVUrApML/e/I4/mXgEQKdZPT2V7dJ527pKhJ7q82swH+/kIH/2WkLfvePr+E/BmzAkNnRBEM8P0lJt6m8syrw8EQt/q7nIfxXz3X447A9+MNzoei7IP/OYUG3kpAkIUlCkoQkzxYveiqscmDeS0ux78ARVFRUCL7oiFf79iRRIdjpU3RMAoym/D8fkqghyNAWY8Ubn2HxKx/DYKWGiR5i3jhXS5VoyC9DWEwS+vbtRdByBLb8RhjIuLMYkrp064GzFy7BaKuE1kxQYakgSAoXQ1guSNrw6bcYP24SgVURARJdRw2ngYAlS2PE3PmLsGLlq8hTq/Hs889j2JChGPv8WDz11NN46smn8fSoZzF6zHN4edlLCA66jhdnzcbbb76N0oo6GCwlVPZq6K21iI7PxvTZS/HRp98RPCmQNGnSZJGmma7TGcoJ0qqRkabGLP+XsHLFKlSU83DbjVaQtJUgafiTzwlI0pnZsNQhg1rrLVv3YvSzE5CUkkUP1AmMGe+H20m5MBQzJJEhYLcD1jLsO3wIk/2mIjIyHOUVZcjOy8V3P2zB+AkTMXjYk5g1dyFOn78BU0ED1e9P9wA+aEj6pwEBTZDEE7l7zVAg6R8GRKD7QoKS2WRsebK08IJcJ+YE8eTlnn52PDzkGv4PQVLXpXo8OitLQNJjBEndCCi6+leKnhceouL5T3eDpO4zqtCbIOm/n0/F7x77Af/QZyv6zziNx1+MJUNZhC7+3KvDE6nJaJLBfGxGhYCkx6bn4f8NP4Z/HXgUT8xJQe+ZGmFQOa1uMxtIPNeJAecu9cEGmIcMZ+rRdUow/vXxH/FPXd5C70m30JvKzD1NyrUcB+VzZjn+fUgs/upfPsff/+k1/O+HPsI/D75AQGgk2KqRkCQhqZUkJN0pCUmeL+5Jspc7sG3nXkRGx6Gm1kc2uOVXI5WjqIweRPYWbeQCNze+d6olGLWUcl5DUJRFkLTcubrNVkjxEhgIUKIHWmsqRzg1lH379MfhwydgzmeIanBCUiq6deuGc+cvCbjS0HENNRIXr0Wjf7+BCKQGVWMuxUebt2DUqFHIVWlgLqylhq8CpqIGpORo4TdjGt5+723Rk+Q3zQ9vvPomigtLUFBQgIL8AphNVoSEhCEm+jb0Wi3efPNNzJs3D3qjmfJaSnERLBFwhFAeR4yZis8+2wKrtRCffvoFnh75LNJyNLAUVkFjrIWlwIG45FyMnTADr7zyiiDnG7cIkgb0w4FDR6hMVmzdtgfDnhyFxMRk+p4vGtt0VTG+/2EfRj4zAamZWbh8/SYmTJiDvfvPCD8TOsqDlVfk6SxYv+EjTJ46DVFRUSgpK0MmwZ/BZhdDbTFxSXhv7YeY6j8P0UkaMWnO5Qep9T1T9KAgqTdB0iODGJJuotuSEjw6x44uM4vRdZIef3z8Jv6h10X0mJOH7nOMAia6zixF16kmdJ5Gxoygpgd97zRGjf/VIwh/GpuM/x55G//Y4xL6+RnFfJ/u/qV4dKIO/zYiCd2madBjBsXPBq+FGGJ6TS/BQ8Nj8Rf/bwN+32MGlWMner14Gz1fzCHYqiLYKUeXaXZ0mmpF91kFFHcR5b8EnV5IFmDzD/22off0CPSamYUuDDczi/DQ8zn4z2fSCPgMlG5BU9mbQIHEq+N6+BWg67Qc9J4bg4eePYh/6fUqOo89TekXocesfErXRNda0XNOEcVrxR9GxeGvCI7+5g+j8Lu/fwb/3v1VDJp2qwlKmuvYnSQktRckcdwi3y3Sk5AkIUnqHuR0Z+Ny58PHeMGU3lyE6nof2ruNX/UNvKy9nMCEfoz0Y24JPXfKdb6tlPO87J6H29gFwCtvbEZJOVBaCRSTiipAxr8eEdEZ6NuXIekkTOxc0lgvhtxCQpPdQtIlatD69n0ct26F0Y+iFBs+/R49evTApk82w2CvRFktp1+CDwmeRowagYDAGygsLMTmzTyxeiISYhNQU1MjPIAGBYXgmdFjsObd91BaUoIrV65gwOOP49vvt6C4vBLFNQR5ugK8s+4LdO/zJD77/EcUl9Tg6pUAjBr9PD785AuCpDKU0XU52gJ8uOk7PDFkFFatWoXy8nJcv3m9FST9sHU3hg0fiaSkFAFJudTgpeUVCUji4basPBUyslVYuvRNTJu+GDGpOpTXA/aiWpy9SHl99jlMnDRZQFJsfDymzJyJLymvZRXVKKuswqlzFzF5+hxcCYqnhuPnIKnZmWRbSHIZxTsNdEs1Q9Kjg4PxbwRKvVdUCkj6/TN5+N2/n8Tv/uoL/O5vvsTfPLQff5zI8FGJP02y4m96B+P/9AnHY/4lApL6TrbhX/tF4Hf/tB1/+a+78PsnAjFghhliSb5fEf5tSBz+b4+bBCM6t5DUzZ+M4UQb/rHzJUrvNfzu7wbhd/8wBX/98Ff4j7HRApL+NNGK/90zDH/XLRCdp9sEJP3n0zn43b9sw+/+9hXSa/hfD32DP467jW5zKvHIZDP+tlcg/qkPlcvfeFdI6ja9Av8+LJXyzvG8Q/l/Ff/x+DuU/+sCkv5rfB7+8qGL+OdewQRJBB2zbOg9z4YB/tfxxz4zCZJG4w/dVuOJyTd+VUjKMVRAZa0VkLT32FUM9zvqFpK6OcXA0Ykgifduy9aWQO3auy0i7ZdB0p+1LUmhW0jiYdrOlHcxjMlz21pCEv1h4x7te+lJ2iP2ofv1IUltqRWgJCFJQpLHqQUksdgFADuTzqd7U8c9Lx34avfhNqvFhvUffobk1DzRiHCB3VbKPYjnJKWqirFg+Xp06T0KE16YjkkTZ2La1Nl49931BAQaxMSnokf3XqInyQVJamMFboUm4bFO3XDm3FXhl4g9XzMkXaDGoUevfgQgIcgzFGH9pq8xZNhwzH9pEZ4dMw6TJ/lhzDNjMWToU/hmy1bkl1TAWFSF+Iw8vLRoCZ4YNBQTJs/ERMrD4KfGwG/2S0jKUMFeSgZHY8U6iq9730EYM24KAclMjHthBsZPnQe/F5fhgw1fwV5M+SM6/uqH3eg/cAhGPTeO4pqOCVOmY+YcXoE2XbgAKCXIuhZwA3369cPeA0egp8J998Ne9H/iKSQkpotlkfxQpeaV4GuCpOEjX0Bylg6mggpco7I9N34Knhg2AuMnT8fYCZPh5z8bb775DmZM90dkZCSMJhM+/nwz+jzxBMZPmo4p02dj6PBRWLB4JdVLCQz57CuJH9yfbzR+GSSRIZpRhx4ESX98/Br+v//4EX8YdQq9ZyYQUBDgTEpBn0mX0GvSNfScEoK+MzPFkFcP/0L0mpqHLpM16Mq9OzxvZ1Y5es3UoteEC3T9dTw+JxH9Z+ei16wyPPxcAv6+y2Y8OobimVtC15Nc6QuR8fbnydD5lBdKe9JNDJhyDH0mnkaviQHo45dMMFdMxrMQXSebCKa06OuvJ/CxUBwF6Ez57D/5IvpOuoK+UwjOZqah56xC/On5NPzz45fx6Lhk9OIhRMq3AmWuHhVl+KzrTPaHROcmxaLfuP3oN+kCBpAh7jtHLfwfdfO3o9OkNHSdmokBc7RUN5QuhRP5nZKKbi+EY8DUW+jvn01xVpIoDWf52sqV7mNTyjH9g2JcTaNnlnsMnZCkonspxJAUo8WOQzcIRu4PkowESfuPEiRNOyx6yJqgjVcEthQBR+fJpXh/SyHBAi+qqBbhA8IVSNpJYKEYafdGfMeBiwiKyiTQqaVnsIqe01InJJ2g8wwddwlH8W0joAmKySLAaoakNzZnoc9kund+thZ1RaJnlPMr7hfledDMOGWD2wIFkjI19wZJ4p1AJzS2BSTpa3HpZiLV7d3zy2oNSfznsxEaawOFTRLA5zYMyVXWXRQ2PFEr6jfvF0BSdKqGQIfbgZ+HJE5X6ADB6D4JSVK/TMwNtlKQDd4hVo9X19Q4KaP9X+0LSUR8ZqMZS5e+ipjYdIITbnj/PEjK1FVRQ3ANr7/7FT54f6PQ2g8+xvff74BKZ0Z2ng7r1q1HREQMjJQeQ5LGVIn4VB3efW8tbselKJDEw3Rmnh+kxtr1H4v5OypjMU6cu4EtP25DRmYO9u87jFdXv4kNH25CSEgk7EWlMOcXCweMpsIK6I0mHD95Bqtffx+vv7MOR09dgtqQDwuBic5SRIBSST+2UlwJCMU7lMc33lyLI8fOIyY5D7sPnqHrr8Fgo3js5aRSBIdHiSGu1W+8g/0EeZk5euzeewT7Dx4mSCon0EzBho2bEBQWBaO1iKApAus2fIHcPH0TJPH+T1cCorDpi63I0tpgIaArraxHrsaIb7fuworX3sJnX32LqJgEnDlzDn5+0wUkFZeWUl7NuHDtKt56dx1WvfYOdu46gKw8I5WjTvyz7xBI8ivCw8OD8Bd/2oG/H3wAPWfEoScBSN+ZORg6OxBDZofiiVkxrSCpv78WffwJpHgyN0ESqxcdGzLzFgbPCsOA2Ql0fTYBRQkeI0h5eNhuDJoVi66zC9xCkgs6+s1MxcBZ0Xhy9gUMm32d4ook6EkXkNRzRhF6Tc9H7xlWAUm9OH3KS5+ZuRg26yalHYRB/hGUtzS6Ph+PjMvCI89EoLdfLrpTee4GSWKu06wi9JuVjhEzz1JcAZR/XuGXS+d5TpKNAFBF39VUZhXVjVWE6ynym4PH/ZMo7TD0m5FFcT4gSKLfXdBtDbYfuE6QdI0MPINSG0giMSCxN+nrQSnINVQ2QdI+AUlH0JPAsgfPqXKChjtIcvUkqQh0PAWS+LnsKsBIqTdWN3HfqiUkSUiS6giRHRer25avItt43Nc2uDVg0ZKliIlnFwD36ifp7uJxSfZ0TUwAW4ki4hbY6JjR5oApn85RQ8/X8IarPATEXcP8QxDH6d21h5ya8qMcd4i5QjorhadwxB/CySO/szgNM13DDt9E/iks7+LP+6uxjyYTnXdJY6d8CphQxGmYKA1iJiU+yiunwWIv2zyPgePk7UqMxY2wlgPES+J6voaHuYw898pG5+1KXOz5W8ff6bORrtHlc1q1SlmdZeCy6kjpZHBOXLiFSzfCUFXvQFF5PYrKqNwmGz7b/AVmvzgfmSo9xVVOea+lenWAuE4Rp03lYc/hAm5FmdoPkthYdvevQd9ZFRgwpxiPz9ahzwwThWVjz8v+GSoU8dJ3DtO8oSwZXmc8zdDBzhx5PhSnXyVWhvXytxPoZBDMsKPKcrqmwnn+bvlzwkubdDmN7n48VHRnut0oPjaifH1nkpjDwkA3s4COF9M17GCSjjfl281GtH6cJ76OJNLm44qjSeW7ko87N9R15dcFX67jd8qV33uCpGgNttGfk5/qSdpNhnAXyX1PkgJJ3Xl1Xot71aS2PUkuSIpI/9Ugqe+UdAJhe4u64nxy/TIk8fcHA0kMKbwnZdNwm4SkDpWEJM+Vqw1SG2pRUObA4mUv48ixE77hAoBfDEkmkwnvvv8B4pPSCDKUjV7dVcZ9SRhr7iGqEdJSQ8HilXMsMc7uhAaW63rXcRfANB+nf71maiDpRyH2M3PGq6iaVEni8xQ355/CqZzpq43UIFsqSdww8znlfEu1jrfW+b2lOF7KFy/Pp7y0TU/Jd3OeXOVoitfCZVLKy3OC+HgeHc+jxigh14o313yCZ8ZPx9Vb4TAXVEBvKcfVgHBMmzYd77y3hh6+KoIw3jaF0qQ8qKksaqoPUb4W+VXK046QROpGMMNzV3pNt6HvDBV6zTBS2DshyS0ksOHif/10zAVJXVpAEs9J6jHDhv7+6ejtr/lFkORKl9MQkERyfe8m0lZ6GFh8fTMklYkepW7Ti+jcPUCSiKNlufnYrw9JOw9dJwPvpifJOdym9CS1hqQDx67iKb+jdC+LnD1JlN+2W6a06ElyC0lk3DsSkt78LFuBJDFnzVVXLevO2ZM0K/6B9CSp6beVrauWkPQrSEKS58rVBvHm8IXlDrz8yiocPHJULGTqqFf7T9yu5/3LSknl9GPkeS0PAJLaiHf0V5OaoIga+JYTvtuqNTw1/1hzLA1CLa/9Kbn2k2mGE+W4Eg//uJQ8uCDDdcNdcsXTNh+u/Lvy6cpX03enmsvZ+vrmeBqhsztwOykPcxe+gv79HsdTT43CyFHj0W/AMCx/5U1kqyx0bzg/vO0IGUexAlEJm8vHnFCkTMym82Lyfcs07tSfA0ktjfy9HFecOdaTFKeOvL9ZW2honX7LeBQ4cQ8TynXKEv+W8SlQw84rW0KSMPy8txrHx84tSXfAD10j5rQ4v99peFlt8+uSC6b4mubzd0JSc5xtj7tXtVhVNv2DIgFJ2YV0f42Kmp5VnpMkJm4TGB1yDrcdpvfDzaD0U5DEPUlP+h0h8C289zlJBDpqMqY8cfvHvaco7YtOI32nEedj28lItxskOevKVa/K8BvVP+WZvapvO5f1YIbbZE/SryIJSd4hHh1KTFWhqLRWrJrvqFe7QxIXprCqjox1iWgMfAmSXOJhPc+EJKoXCseew/P0+Th79jy+/vp7fP3NduGBXGvIh43OKT1WCiQpovxRg6/k68+BpBMYPCOolVH/eSlw8kshyaWOhqQmWOH4vAiS2Nh3mnovkKQmI6lA0k8NtzEk3Qi+c06SgKQZRXdfbTeNIamk1cRtdiFwPSwFP/wEJPF3VsueJJVJ2fhZcQFw75CktlXS81tFkFRw14nbrvyK+idIajXcJlbfKpDE+Wm7/J/VEpL2Hr1OkMQrxVoMtwXEU3ko7C+ApIsBidj+E5DE2k7p/hwk7T7S5t46v3O62w9dQKRzdRv/1jn945fCCZLOtwrjkgvOGN4kJEn9UvHebfxuslWgyqc2uKVXeXkFrlwLRk6ehQpKD1wrGJBqVwnIIfjhRthWD4O9Tuz4b7LXwEjSWXk4jf1XPYiGoNEZTyN4H73A2xaM8j+JoTPutyfJs+QOQnxCVB52xtnNn10AFGLa+yZcSS1FdhE3Ri4p91ZNkBQS4+pJam1AW4mhgIDjelCi0pMkHLw2Yi+dGz71KHpOLyVI4iHEO6Gjs18lHptShPe22JGtLRQLBbRkTG9EpGLLvlPYfvCCW0hi8bFtZKRvRqRROAIkI0MStTvBMdi67zTl6+7Q4YKkW7ezCBqqqLw1SMoswmufZKPnpHT08HP2JIk5Ys3qMr0KnSjPA/1j8eOZLOTRHwOeX5ilK8OFgGjKq3tIaimlJ4k3uG0AL+HPdU7cvhdI4g1uQ+JU9KeFjDnBmdbmUCBpv3tIUuK7RPVIcTMkJWgpXfpzRPdIbWvA2Wu377En6RJBEoWlNoXblhxqP0RP0j6CpDblZbjaQ0C95+A10ZPELgBi0xmSPAs+JCR5nlQu8Z818YetQczB1ZkLUV3nQ36SXBO3ly1/DbHxGdDYqeGVkNRxckGS6L3j+VMV0JgqhNNNFs99+rntRu5dCiTxg20ggxEUY8HomaeEU0MJSZ6sKjxCkDRvUwlCNUBm/p2QpCHjHxKjJiNHRvJga0PYUmxE95JhDInKFPPkeN6eIb8Bh07cwFPTj6PbVPaTdCck8fykRyeXouesCnxxpBYaAhwNz4mjOG5FZmDrwbM/CUnbD1wUxjskJpvyyunW0DNfgYCIROw4eI7C8VCQe+O/nQBpB72HJaiofaLfiLlWwMrGXQUY4J+HbuykVOTV1cPnhKQZ1XhsWoUYbttxIRfqQp43wQ17Fa4Gx1Oad4ckMUxJ5/Ydv4GoZIPoReLFEew070ogD5lRft2U0yXuldl/8haiU40EdvzHk0G2UYGkfXdLV4GkbRT3wTNBiEmziHZBQJK1Aeeux2DbXvZHpUAWA07bHqVt+yjs6VuIyzJTutyuNAhIOk2AtW2/cn9aXu+CpN0HrmIHwduBEzeRkGkXgJUre5KkfkLuIKmgAli+8g3sP3TCt1a3GQ1mLFmyBLFxCQ9kdZvULxVDjKthUgygMgTIjUBLw9hSbeO4F3FPUj1iM6vw0nvx6DfxhjCGPDylDEPx8Jb3QpPvyDl8N62UQMCM93eUIa8QyCEgans/ef5Jck4+jl8Iwda9DB0tjCEZZAEu9M6G8Pj5MCRm2qClP0Q8NKsrcCA0Ngdz3ojCo2MtlBZPWqd0Z7A4H/UESY0Eanl49p1cnIziFZ/KUB+vDI3PyseR86H4cd95JZ0WRpjFx37ccw4nLoRTHgsINuqEceNenbg0Kw6fDqY8cy+HEpZdFbQM+wOBwYnLFDavSDH81D7pKc9HghoxdnUW5TdXrFRsAjrKs4Bmv0r89zgrXlxrws2UStGTxD3lersDMUlGAsOb2Ln/PPYQhCketpV3zgeny1Bx5uptpKlKmiBJb3MgMlErPJRv23/OCSzNZWa4EmEJVs7eiEG6poTqyCH+nHBPUnSSAfspXT7vDpQ4LA+Lnb8Zg1R1iRN0qL4IkiISNDhw7BrdQ2Vu0W4x54wn6FNYvsd0z7keLwXGIV1XKMIJB38UR2i8GnuPXRdlapmugCTOP5X7R6rnq0HJyNLx4hBuczwHPiQkeb409KwVlgOLly73vdVtBoMJS5cuRVxcIjVcbJQlJP36UgCovSCJVzFmU/gd5814YmoQHpnEXpa9HJLIMLacT+TV4rL4M5zU4+GJ+XjudQKgaLrfRQ5kCwPW+n6yUeMhktg0Aw6dvkUG75zozRDGkOGIPm8nw8w9BZEJWvqd11MYZQ4dh+XtePZebsCTiyrw6IRidJrG+agTPUiPTK7CH1+owBOLS7DhYiVibSBgcD57Zno+6VmKSNJh/6lbYkhnB8GGy+CLdPdfpDwF4XaKQaTDmzzzc62hsNzehMdrRI8Ng4PIsxNS+DMfO3w2CDHp3CPDw0e1yDXVCihMonxsPFGEJ+aZ8TDneSrDHQESPbcP0+f/fqEAI1ZWYncgkExQl0nlFHODqNxaykNgeIaAIh7C2snwcOCi+L6T3jndY+dCFZiktLiOlDwzLNUK79/7CFi2H6Dy0vWcV1dZOezRsyFIyLSKie251J4KWKHyctkDo7IFnPB1PMTFcOMqK0POsQuhSMjhsM4eZu5NovvFPXBBEenYc0TpMRI9hoeuiXdXuicvRiApx0bXVyhh6R5xXXE+boSlNwEcpyd6/ViU/+0ESKcobApDLNsAfsbazJ38NSUhyfPVEpIOHFY2uO2oV7tDUmlpKU6fvYhcFTViFsUwu6sEqQcoMczWop6d31X0meU63vb7nyveHkHs4UaGQmWnd1M1th1TY/D0GHR5NhSPPZ+Gx8Zn4aHx2aQcPPxCrhcoj6TCoxNzycCn46FxqWQ0M/HIhOw21/2EJuTS9RyPm3O/grju//R8Ch4dm4CJr6XhYIgVmYWAisDgzon5bNDIANM9ZSesKbnFuBKYggMnAwWwsEHcdzwA52/EKUafYENDci0EUJG4V0dfBATEmvDql5l4+mUV+vqnod8MFZ5enomFX+pwNKoBafkEG5QHsUCAwonhW0pXQ89SYla+mNS8n9IS0EBpc6/JpZsJSM0rFPPguBdJAX/ludZwTxblmfN1MSBOhOXeDjb6PFx1KTAZKaoi6PIVUGlZbq6LPDtwNLQMCz9PwpAFkXj4+Wg8NjESw17Oxsof9LiYVoIcKhfPCVLzkJdIW5lfxEY2McOEizdilB4aAUvncfBEAK4FpyBDUwKdnQwxQaDy26Q6prrm/OrzG5CQYcX567EESwR4nGeCjQMnb+J6SCrS1cUEJww3DHUEK2KYW4FCHcNsqgnnrsWIieFcVlddcbrc+6ShdBkIBSCJ9BU/bQZ7A2JSjDh9JZrCMlhyPV/GoVOBuBGagkwtpUvXKYBEaVL98qR+7s1SerKMOHPldlO6DEmH6DkJCElDtq6cyqs8R0rb5DnwISHJ86U21MNe7MCXX2/BtRuBqKqudlJG+7/aHZIEKJVVwWzlTSuVxsBdJUg9QDmhqO33tlDU9vuDkAuScrkHgRqfHDJ8xyOBD/cBL30KTHsfmLQGmPwBMGWtZ4nz5E7T1gMT369Fl0mZ+KchoXh6ZQn8NriPo63cxdeRcpefqeuAhV8BG08CF9OB1FIgne4TAxKvYmx9TxVIYr9bDCFsxHnOWa6+CknZdqEcPRlAWz0ZSsVnF4t7Nlw9kuIZI0PKm8CmFgM/BjkwaH4ehs7PwbYgIJKOxdO5FIKSdOEAthmS2A0FG3ItGX9Og41tYpYNSVl2ykOlkq7oQeJVba0hicW9K3yNngw0h+VwnOdsQyW0VA6etKwY/Ra/FxL3guVSfoiDEFsGfHq2Fo+OicDgBanYEQ1EU57jCCzTGaZEGamejJRXFsWlofzwQgkjKUdbiqRMC5KzrMijdPUEZQogKaCi/DZdYncAFJauYWVpywQwcS9MnqlKgAaXV2WpEav/XL9zV1iuB46fxe4IEjMpbK4zLN8f7jET4VxpK2J/aLwDAafJdZWp4XTtFLaQ4iVooHJoxf6bznAueDArzwf3oPFQI0NahrpE9HQlZ+dTfbAPNuW5UOaKKVAoIUnqfsQ9STr6TdoLKlBb7yOr2xiOuCQNdQ6YzWWw8PJa/nE4f9RSviql0WQpwzT0L5OMkYaMMNk2UHuPdC9TBuU7Misfr67fguHjF+Do5RjkUcOaSgadlUZyF66l0kiu6z1B3GOTx5O06f3nN55mtb6vLO5B4HlDytyWnzF+YuhN8TJ/MzQZ02cuxOxZ8xAWmQBLEUEVO1M1Mhi5CSukpM9p8fAO92jwsK5reO3njBmXkTfIdA0PKT0odw/n2rCZIcBY5MDFqyF4YZwfVqx4G4mJuTBYOayz7vi6NuFd4h4m7kHX8m+B83sfPSkcN/tPUsIpPTg5QvUEtHcPryyg4HC84k6BqvtNl+8rAyQPyymuAjis++tZrnpw9Sy5wnna0Jo7SUjyYPFzR+I/PNwzbLSXobrBh1wAMCiZDVa8/sY6xMbliB/Pz/3YpLxd3CgqD3bTA04NPC9Vpj+XApLcGW1PFq/4ilUVYPW67zHk+bk4cS1OTHJ2d623iHtssuhe5NC7ACRqgBhihLG7h/sqQEn0IijG+66QxL1BJPGZjKWe6jIgNAUzZi0SkBQaEQ9TAfcC1dwTJIml586eEKXn6N4gqUmcTxGe8+w+HNcB+z0TvUlURkOhA+evBGPc2GlOSMohSOJ071ZXzWJY4WE0tcgn98D8NJy1lauHiCeUc575dyR6an8CklicrghLYZQeHAZDrkP3198h133l3q4WPVY/K/FMUP74frI7hnsN9ytKQpIHi58fEgOStQQ4c+kGkjPzUFtb56SM9n+1LyQ1OmDUm5r2bhNeWvmH564ypLxcSuPocj7Z+rtiiMWwC6nZKaV3iIcR0unDO+vWYfTzz+Pq1auw5lfQOVfZ24ZxHfd0tc23S+6u/RmR8VUAy3nf72JceN7LrdA4+M+ei9mzZxIkRcFcUEoGqWV9ttRPx3f/eb6363m4L5vfjbxHYgMuXbmFCeMmYtWK15CSkAGzpRoagj91m3B3ypXevaX7oNQEeW7OSbWWhCTPFT/DLJVB2ZZkwaKl2HfgkJi43djY6CSN9n21PyTpTHhp0RJExyaK7lsJSb4qpzHzZUhauxajnntOQtJPynnf3RkXauzYb9LN0FjMmPWix0IS93zl0LsyN6oepkKCpKvNkJQcnw6TmSGJV5RRGFabOJrlSu/n032QkpB075KQ5LlqCUm8we2iJctwSOzdVqlM6emAV7sPt9lsNny8cTOS03Kc3b384LmvEClvlvPeNunOxsU1mbbtcY8WlUWXX4cMlQnvf7AWzzzrhKQCXgbtvpxeKSPdG6fjNrfn77i/Tgkj0hIAnNfdxbjo6Y/SrZB4pSdpzgyERUQScJYTcPCWIHde36y28bb9/tMQ4nr2XHONfg4eGOIVSKqFqagOF6/exLhx4/DKKyuRlJgCg7WC4uOhLM6H+zha66fz9+DUUen4jiQkea74N8hSO10AMCTtP3jYtza4bWggI2OwwGQtogaHx9X5wXNfIVLeLKfRatKdjYvXQlIBQZJagaQxEpJaSxiRlobZed1djIvB3ohboQneB0nXbmL8+PESknxQEpI8Vy5I4p4kS6EDwaERyMlTo66+3kkY7f9qX0hqdIgNbgtKG2GwsadV+eOV8jKRIVYgyYj31jAk8Zyk62TYXas1ZSN6PzLYGhAYEouZM+di7qyZiAiPvkdI+nXEE66tRQ243AKSEhOTYbTwFj91YE/Z9wZJUp4qCUmeK9dwG7e1PBLFq9uqfGl1GxwOlJdV4EpAFHJ1RQKSmrfGkJLyAklIeqDyNUhSVta5DyvlHZKQ5LlyQRLPDeTtgnK0FpRU1YvOl456tfucJN7gduGiFYiOTYWyJ5NsVKS8SBKSHqi8B5K4h4i9YNc5IekWQdIEgqRVSIhPgt7Mw23SiPqCJCR5sEQby64sapFf4cD6jzbhwqUrqKqq8p2J20ajCYsWr0BMXJqEJCnvk4SkBypvgiSeb8ROLi2F9a0giXuSDJZKCUk+IglJHiwnJOWZqlFAkLR42cs4fPSYb21wq9PpMXceuwBIlc4kpbxQDdCL1W1GvMur256TkPTnyGBrRGBwPEHSPI+GJHYAyRvO8pAa9yRduXoLL4x9AStXrEZiQiqMlirKM/3DdTnKlPJaSUjyZCkLEdSGWsVP0uLFOHTkMEGST21wW4brN4Kh0lgkJEl5oeqhs9eK1W3vrmUXAARJVyQk/VIJSApJwKxZ3gFJamMtzAV1uOyEpBXLVyIhPgVGc5XYdFMl51h6vSQkebKaIamg1IEP1n+I85cuiuG2jnq178RterFTTHsxGRpLhXPLAbnCTcqbVEeQVIN0tRFvr12DUc8964QkdgHAjlHrhfNB92F/61IauJbf2QVAYFgcZs5+EXNmKy4AzAXlZJAUSGpaos/wKf5QdXTdOjfVJQMpepKMNbASJF254uxJepkgKTYRRlMZNIZqqKjx5q1X3Mcl5Q2SkOT5YvcdhnxAZy5EeXUDeDqST8xJ4hfPQi+ucMBoowbF3LbRlJLyUJGhVlt5o8966PNrkaZqC0mVdI4MqZ2uk64t7iLvhCROl5f2a60O+nNXB1tRa0hKTkiG1VYJIz0bOt7g1+IuHilvkYQkzxdDkoba2YKSGtQ2OHxsg1tbPjZt/haJqXlyuE3Kg+U0ymyc6buGntV0bSli0gywldQiS8NzktbgmWcJkq5eR2FpNdLVhQiNUyGbexNE2ObwUs1SEfSoLA1iV3hTYR1BUgxmziJImjUT4eHRyC+qgt5K0GmpJTjh9kGBq1/T8ajKVIvoZC2SsgwoKKvHlauBBEkTCZJeQUpSEgoKy5GUoUFChonuOfcoynbNWyUhyXPV7ASW2o4SBw6fOIP45HTU1vnKBrc8cdtgxsIlqxAdlw6NjRo/CUlSHqkWkERGXZsPRKfq8d2uk7gaGIk8Pc9J+gCjCJJu3LiJ7DwDtu47i6PnQoWTMwlJdxHVZY6xAQERObgRkUEGqB4hkfGYOXsuXiRIioq+DWt+KS5ei8DlW4n0b5Hr79eFJO7xNhUBJy4G4fPv9iIpPZfueZACSStWITM9A1evB+HL73YhMDKd4K+ewsl2zVslIclz5YKkPHM97JUOLFy2EgePnvCd1W0NjgboTQax30pMfBJBEhsTucGtlCfKBTpKo6i28L+XGmzdc1qszrx46Ro2b96McePG4+iRk/jsi28wb/FyBEcmwGCrpQa1plV4KZcaoMtvIEBKxFsffoKTFy4j+nYc5sx6EQvmzEVEWCROnjqHTz7/DjGJ2TAUNDidx7mLqyOkLP1nx3XcU/jqOx/i7Q824DA1zDP8puP11atw5NABzF2wEOs2fobUPAvUNt5uiUHJXXxSni4JSZ4vlane6QJgGY6eOI5KX4Gkekc9NDoNlq94BbEJyRKSpDxYLSBJDA81ijlHl25EY8LE6Rg3fhLmzJmDUaOewfx5izDm2fH44KNPoDUXQ2+tkZB0VzWIeszUF+Pjr7dgysy5+GjjZiyYvxCL5i/AF59/hYmT/fDhx5/DYC2DxlLzq0OSmLhtroGW4Pfbbfvx9LPjMGnyNDz3zBg8N4Y1GhMmTcG5KwFkUOvEMKKEJO+VhCTPlwuSlr3yCv1hOeI7G9w6GgmU6hzChb/FXtM8LOGmEqSkPE3cm5SWY8XHH32KHt17Y9iQoRg6aBgGPT4cL4yfInpA8otr6QfM21NII+lWTuA0Fjlw9PwNjB47CU8MGoKhQ4dh1NNPY+iwpzBh8gycvRIMXQFDJtdj2wnfHS+eG2UsaMTNsHjMeHEB+vQbgCGDBmPowEEY/PgTeGXV24hKyBXXKG2aNKbeKglJni9ebWopBq7fCodKZ0F9A8FFB73aFZL4xavbikrpQWQ3/hKSpLxIPOGYV12dPnUezz07VhjJp4aNwJCBT2HF8tXIylHDkl8lIeknpfzm9QRASTlGvPn+h+j/+ECCo+ECOnv37oeVr70tJkhr7PXIpbr8tSGJ5yTx3Ci93YGkTD1ee+cDDHiCAGnwEDxJeR4xdDh27z0KU0GdmGzObiCkMfVeSUjyfDEkCVAqKEeNL21wy6xXXduA5EwLNCYyJnKptJQ3iSCJfXOE307HiwuWoX///hg6ZAgGD3wca9euF6uydC328FKWrruJ5zcp5x8ip9QW9lzeiO+37cegQYMwdOhQDKG6HP/CBBw6cgwGaymBSTXVJffMUaNoZFF7wboj7vaXmu4jb6NkKWrAoRPnMX7CFAFJAx9/An5TpuLa9UBYCivoOqdTUWlMvVYSkjxf3CbobRDTGyrrG3wHkuobqaHRm7Bw+XuIStBAQ42OuwqQkvJU6WyNSMs2YcPGL4Vxf+LxxzF18kRcu3pdQJLWVC4hya1aQ5LKXA9jQQMCgiIxe/ZsAZys6TP8cePmLVgLKwk4uFfu14ckdg6qovyzM0lrIeU5OApz5y8SPYn9+/bDZ59uhsFkg9FeKiHJByQhyfPFbUJ+OfDaO+tx7MxlVFT6iMdtdgFgMpmwZPEyxMYl0T8zbnzkxG0p7xE7CtQVOHDmcjCeHvEsHu8/GG+++jbyVBZo7fVkIFs+z2zQ5R+BZjHkKNDBxoYXbqTn2fDO2o3o3edxPDn0Saz/8GNk5KhgsBMgiUnvLY3Sr1OfIr+UbzUBmt7G+7OV4tPN32LooKEY8dRI7N93EEZLGbSWaoIkXtkmjak3S0KSF8hYKyZu80r5Q0eOoqLChza41esNApLiBCTxuKKEJClvUqNYwh6TlINlS1fh6aeewaF9R2CxlTtXNUlIurta1gcZG4YJYzm27T6MJ6ken37yaRw4eASFpRVklHibl7ZG6derT+7FYmno/lqL6yifxzF8yHDMn7cA0dExsNgroDFVUnvmdCQqjanXSkKS50tjqUdhJUHS0uU4csyH/CQ1NjbCnp+PLTt2ISVbJcb4laEJ9xUh5e1yGbW2xo0/s/+ZGhJvT8NDK2RkzOUeLzW/2yi/pkJ898MWTJoyGaHBwbDZi91e/1Piobn2koblJs27Sc1zBMUflnv1S+SEHJfuAWbEsFkL8TFTgQNBYYmYMWsBFi5cjNiENJgL2YUCz0fi65zp3LNx+rnrXXlzXndH/u+Sdyck5RkboLc3Qk2W9M231uDdNRuQlqMR86d+es829/E26+fOK2quP+6F5z+Z/O7+WpYr32K4kr871XzNz6QrXGC4qSfX8aZ6u4uc1/1cPj1JEpI8X+xx21bhwPqNn+Dy9Ruoqq52Ukb7v9q9J6mRVFxZA2N+CTXOyg/dXSVI+YJcDXDbhpg/k6EhSNJYa6G1sQ8aboiqvEJaWxX0tlJcvX4NX375JVS5ebDZit1eezfpSQZL+0lPcpeuO2npWg3D6q8ASTx8lZFrwQfrP8HmzZ/DZOV6rPBYSFIRCGksDhip3g4dPoUz56/CYCui+qu6I0xruY+3WT93XlFz/UlIai9JSPICmeuhy6d2SmtAVV2db+3d1tBI/x4Ly+nfGDuK49215XDbb0POxpIMcq7FBJUuGpbsT2DLWoPi7MUoIZVm3btKshehOGdhu6mEVJp9p0qyX6LzC1Ca+xJ9X4CCjNmo0CxASe58FGW95EYLUJg5/w4VkYozPEGU96xFKFR/BLv5BCzWGPpd0h8Yuk93zglqI4Ip3vSXtxdiL9Mq7mEj2FUT9KptZFS4p5gnrrcypi7jTtcTJKutZTAUFeNKSBTOXosgaOZ2gaDDwivFaug6d64UeKNhB6VL8fBG2TzUaasQ6WtEunQNp9kiXWVeEaVNZVLC0jvlWU3Aq7ZTWvxO+VZZXWGaw4uNuJ3GXk0wqTGXIc9aivhcI1J1RmgK7RRfgci36i6wxJDAcMVTDLTWOhL/MSA4pTTZ1YFaONbl9Pj61tDC6autnN8Gcb0IRyDJ0lIZ2D2Bsh8e51O5nt85rJo+c489p6ux1FIYhnwKa6d089mxpyucK/3GpjljSrpKXXM6OjvfW64vUj6125Sf3LuAQ1NYvkf0R0hjrXaWl/Jrp7gtrvrl61uX99eWhCRPFD8jrcXPmMFaiap6xQUA80VHvNp9uC2/oACff78dCRka8cOVkPTbEE94Zs/F6doiRKUkIzruIlSJH0Cb+DrMSbNhIVkT712WxFkUbma7yUKyJt4pS5I/zMkzYEn2hy2ZjqX4w5IyjY75uY3nbrpb/B2vWaTZ0CS+gbSkLUjPuIZsnY2M60+v0mKjrCU4yjHUIjTOiOOXorDr2CXsPHIJRy+EIDA6D5laMsh2vlYxukpYMpACkmqRrS9HMoFGTHoGIpJIibmISVUhNU9PhrqEwt0JSa50s/VVCIpR4djFEOw+flHo2KVgBIsNhsmo5VMjyn7YnOkqhp/C2oEsfSUCb+dS2DDsOnqZ8nwORy8GISQuV5xj4962p4TLwPHlGMqRmmNCNOUzNCmblIaojFSkqrWU1wIBUa68thSDSqamArcisnH0bAj2HL2Cvccu48SlUITGq5FtZABxXm9kI6B8VhPA6CjPGZpyBFDYI+eCsIfqed+Jyzh1JRgR8Rrk0j0QK4XbABLDD9dVhrpSSfdcCPYdu4J9xy/h9NUIhCdq6TfJ8MJ1RWFalpfDUrpp6nJcD8/G4bNBIr/7TlzF6evhCEvSIpshV4RtTtMVlsE5Ja8cV0PTcfAMh71K6V6hdKMRmWKk6ynPXF4Rrrm8niAJSZ4ofkaalWt0wFgEBIbFI4se+rr6BidltP+rAyZum7B48VKxuk1HPxIJSb4s10NN/4JNJdDq4pCdsh1FqSNQmjoYNWldSV1Qk94ZtfRel9r1nsXXc7hfT10oD91Qm96t6btSHk/R/dZPF1RRmKLUQSjO9UeR9SAZsVIyum56Rsiwcc9GQrYdJy5H4Mf9F0jnse3QBWw7eAE/7DtLOkcQEo6ELDsZW+6VYAPD4bkHqRIGQxgMWRsJNqejPLU7KlN7oiq5FypSetKz0RNFWVNRbtqIAnug6LXJtVSLYUCV1YH4rHyCsgiRzo/7z4k0tx5Q8sB5OXU1iuCrkPLvMmrKv04GifgMCns+Atv2XcAOCrPj4EV6vyS+s86QEU/J4V4hBjlFaorDbFXBpL8Bc+bbKEh5GiUpA1BB976K6q0y9TGUpgxEZfYLKDbuhMmaDq25QJSX4YNhIybNjMMEC1v3nMF2qpudnDbXGX3eRnk+dy2a4DCfgIV712sJlHj/P+51akR0khEHTwXix710LeVx+37K8/7L9JnzfQ7nbkSKPx/afF5dSXkWvTh8jxyITKSwJ4MoLKfFaV4S4bfuU+rq/M1YZOiKlXvkdO7L7xw2PMGI/Rx230XKo1JPHJbzsZXCXgxMpHTL6VoOozwXLkAKS9Bj74lb2ErXbj9wnuqZ8k3vP1J+tx64iMvBycjQltH13BvlWc43JSR5spw2hZ5TewWwcPEyHDrkI9uSMCC5IGnRoiWIiU2UPUk+Lxck0T95XSHS0oORnvADitNGoixtaCtj7o2Q1BpGXN89RfdbP11Qnd4VJWlDYEmbDINqGxmwYreQpCEDmq4pxbmAOGHwdhy6jJ2HuUdG6Uli7ThMBpzOnbgchcScQmF0OSz7R8rWlSIj/Qpykz6ANXUGKtMJkNJ6oSa1N733RkVGb9hSJ8Cc9S4spusERmUCkvIojuS8Epy6cpsAiYw+Gd4dhy8qaXL6h69gO+WF83T2RhzS1GyEleeQASk5pxQnL8Vg217KHxn8XYcuYheF20XhWDsOXhLwcIHCZpHxZ0DJMxK0kNTadGSknoQ2aTWB5CiUpRMUZXRHVUZXVGd0pud5EAqSn4Eh+xvojMlNkMSAFJ+ZjyPnwgQM7aI09hxq1m7KL6fLwHY5kP4VEzgwoLFBZg/fCRl2HDkTSoBD5aRrXXnddegq6Rp2EuTtPHgel4LiCVhKoRa9Z0q6cRT28GkOS/VzyBnOVVZnPW2j8FfDkpFp4B40BZS4hyc23Y6DFPZHgqodnNZhVnP47ZRnhqxroenIMrBjYL63yhBbdIqNwoYQSNE9EXmmunaK79M2EfY8bkZlIYdgsGUPlidIQpInS7EpDNa2cgcWESQdPapscOtijPZ+tXtPktFowmuvv4fYhAz6MdIDJze49UnlUmOSw/8SLU7fQbps5KRshCF1uTDKtemdUJf2mJSHieGzKqU7CnNWw2S5DZ1F6zRidC+NipHQstfxBJUw0NwT09J4thQb/71HryM0Jo8MP28SS793SyWBjg55SZ9SOv0IjHo40+bnobPyOf0RArbHUJ1F+dBvonZCR+GLCVocCKG4dhFc7CAD3zKt3UeuCol0CYD2HLmG0FglXe4J4ncOu5uOc2/IzoNkvFtCB8dB2s7QcfQywhLUlC49t5TfXHMZDOo9sBI8lqQOFvmspfzWUB5r0x8V+a1N7YTalC6wp8xDvmYHrJZ0Z7oNYqhr90HKG+VrdxtY4e97SDupPPtPXEdcmhF6ghSN2UGGGbgenKb0HB3g/F5T4KhleIIXLu/hs8EEY1YBo8owWyOuBCaJnqNWcOUUAyXrh/1ncfjcTSRk20SPEO9Rx/V8MSBB9DyJemoRToSl+Pj4j3vO4cjZUApLQMg9UNyTRH96LwYkivwqINo67O7D10jXRc/UodNBBK4F4s+yhCSpe5MCSQzz3JO0YMFi7N27H+XlFR0CSPxqd0iqqalFckoW/dvKVyb1sRF1WxlS3ix3kJSd/LGEJA+XC5LyM1dCb4qE3kpA0+afPvcaBN/OE0MoOwmE3BlhIT5ORvJaSApyDOzqgf8UVSAxR4PcxE9Qndr/JyGpIr0LrOoNlJ6GjHehAI6b4RnYuu8spck9E27SZFGaDBaBkVnO3mrKv7EGl28lCsOuGG/3eeaeju2HLuBWdBalWyPym2UohiZ7Byypk0UPaB3VkTtIqkvpClvyXNjU2wUk8erdLE0lLtxIIAi6jD0HFShyQYYAEBIfZ0hi+AuL1YhwDEk5OgaOJOU6Z89RS0hiQOJ3Lg/DX0icCjlGHs7k4cV6XAiIw/YWMOkCSRdMKj1vdA+PXhRQyL9ThiSeYH7mym0xrNYWclpK1CNBT2SyUbm3/Ls31OLkxSgBQXyNK60mNfWAUT3TNXFpJrpH/EeZn7E725FfQxKSPFkKJGXTc24pdeDy1RvIyMhCXV2dkzLa/9XukMQb3BZT4QxiXyZnA+a2MqR8Q2wY6R7rciQkebDqSQ2p9Dm1C6pTuqGEV+CZTsJmSxbGs6UR48nEwbfVZOjY4LUxgi3FMEC6FpxCjRqvaqxHjrUCsXkaZCZvQmV6P1SndXfmwQVJ/N6Jno+uBErdYVF/hCy7hsIVQE2GKiA8jYz3KYr37j1YnOa2/ecQGJ0Gdi2RZ2LHlCW4HByBH/edFOfvBkk8DMXDQYG3s+lPHIW1VFLey6DL2oaClBdQmcY9SXc+u7WUdx7mtKbMIUj6ARZrqujV4QnX56/HKqDjJj2Gpt0Clq5i79EAgiStMMYKJNUQJMU7y+o+PIvj3n30GoJj8wiS2PcYQRbV1aWbCaI3z3VdS2BhQNpF33cwbB69gvBEDZWVoNBUK0Dp7NVYgtELTde7E6fLeYtMUUNFoMNDILnGapy4GC6GLfmaOyDJKb4HDFkJGRKSpO5HzuE2dmlBfwZMtirU1PnQBrf8qq6uRUxcHrT6MglJvwlJSPIGtRckuXqS2kJSRtJGAo6+d4ck7tFK6+YWkrbuO03x370n6UFAUlBMtlgmfz+QVE11Z0mefd+QxMNtu6kevRWSogQkESBJSJJqdymQxOJ5htaCWtQ2dCQidUBPksFgxOpX30FcQia0PNmvPX8cbJxJKvos5HSs5vZaIdcNuLfjvNqG5freHH/b61sec6e7Xec6fn9y5aOp3E1SoLTpe1N+3cfzIOQadsvR5RIkbSJIWiH+cYuJ2m0MjSKXsXTJZZBaGlE26p3IqHdGPQ9zuA3nkuu8olqSMkzSfIzVNj4XNNQzONC5+jZQ13Q+zTnckv7ofcFfc/yufN8t3M+dd6/W+f/587VUjhoqB5ehOqUHSjMXoMR4EnZrG0ii550n5947JF3G1eBEZBvKobLUItdWhliVChnJDEn9CZLaDrfxextIsukIknjyN0NSOhngsxS/Exqcwzct86FA0nkERmUQJNVSvnnyeRkuB0URJJ0W5+8dkioIkkqgzd6K/NQXUOGEJNdzxJ/5ueEhONGTlPwiQdJWWC2pYngwU1NKkHSb6upuUMf54HOXxfytsFg1QYri+8gtJLkrb0tIMtSKf9gaayNBUhJBUnM5W0HSETp+lECF43YLSbepns/RtZw3JX+usE1xtIQkHlo3NorhthMXIn8esHhe2cELBElGCUlS9y9zPeyVDnzx7RZcvn4TVVU+5HGbJ24vXLQC0bGp9ONgQ/7LfxzcWDNNGuihNhVD+E1wyVCo+PlQCxBrDQXKBFQlDp7kyI2KcuxucOL+uIAkZ/7FPIAm6Gh7fctj7nS361zH3ctVjpbv4rOBzpO4zBrKl5bKqKe6MOTTZ64zbkRb5ffOuB+U7h+SyGA7wUF5b4YDMTm2CWJ+HUiqTX1UqI7PpTxK1ymQVJ9Becvo4oQkvp7iugswKeEfdcbP19yZz2b93Hn34vyLvHNaLY678v+LIYnEE3SDou8fktgI51hLBSRlpXxCkDTg7pDUarhNR3BVdN+QdCsyndoHNvxV9ByW4tIDgaRBIr93haSUF2HXuCCpHhmaEglJbiQhSeqXim22a1uSl5auwIEjx8UGtz4ycbsROr0G8xYsRFRMAv042LEc/0DcV8Zd5ewhUpas1uLMlRh88vV+bP5qG774bif2HT6FiJhU2EocsJcSKJhqoCPy1BgIEggKNLyjt4F+1Jw29zTxsll6d8FG23Rc17U9LiYmmykPTthQ0TmW63xzz40iV3gBDa1UR6pv6pnKoUZOket7a7niaYIialRzqYxclypjrSifhhosDX3XmmuhM1UgIVWDKwFhVO4iGOkHr2E/LFQHanayR3UjysiTPkUjwA+hkn5ui/R+ie4VksREWDpeTeIehOr0HqhJ7YnqVPpMBryajDf7peFl6ny9y8g3MGykPUTfHxawUscTadvGK3p42JDRO6XLcdSQGGoEFGQoPUCNqY+I+ISxJsPXQGk3ZHRHXW431GTxdZRuVhc4KFw9x0Pn2VeSEq9zKT3HmUnnKE6RLpeTXRak0GcnENWnU3iKv5GOsdzBWbMUI+wSh1NgQpECd83Xu6DHFQ8Pn9WkdSdxWRXD3hoSFchzieuBh9tKM+eh1HicIClRMZ70jLjuaWtIYoPd2mizxDASGVEeSroelIxsfaV4zrOt3JOUS5C0sc2cpJbie9ZVLLE3EyTl2HTIs7aBJIq3Oe020PBnQBKf42Gg4Ns/DUku8X378yDJJYKkY1cJklROSKLfjL6KIClBya/bMIraB5Luc7iN8qtAUuvhtrtJQpLULxLbVbbXZL/y2QWAr21wy5BUWJSPrdt3ICM7j34cDA+/HJLYn0e6pggvvbwOnXqNwLhJszBizEQMGPI0ho54HguWvYXYFC2sRQ6CBQIGBiQGJQIADYkr2wVIyufWvSqu865r2qbPxj+Pzqm518fZc8Nynb9fSMrlXi32YGslSKHPbeHIBS3cCLriUpy48YoWZYsXtalelE9L5xiSDFTHGkMZduw5iVnzlyIpQwNLPuVZXw2Vns7RdTx3gn3fKHvp/XqQxHM6atO7ozazF+oye6Mhsy/q6XNDdlc05PRAXU4f1GX1VIwTXd/IgEBGvjH9YfruHpLqyOgrPTwKVNSyP6MMgp6MrhQ3QQ6dcwdJDEGNZMALov4Lebf+AQ153ek6AhnKiyO7G6XZFY1ZlB+CuXr6zGqCLpYw9M2QxLDSDDddKN8UfxMk8Xc+/oAhiesoszsas/vAkdcHUPdCYw5BXSaX11VHEpJaSkKShCQJSR4stqtsj52Q9Mrq13H46DHRk9RRr3aFpEZSfaMD9sIKmG2lYlnunwdJjcjSF2HpqxuxcMU6aA35BAR2khmXb9zCZP/ZmOA3A4nZWbCUlsGUXwt7CYNAEUJvJ+NmaBTCYxKhsxSgqJyAwlwuZM8HCgrrkJSiQ1BoEkKi4pGYnof8UgeM9ga6vgFZ6lJEJWbBVkI/HoYUalzYa21KbjFuJ2Qhv6QWFnsJ4pIykJGjgUpnQVBEHG6FxyA5Rw17eTWMxWVIzFHhengUAiJjkKTSw0L50FA+VdYqGAvrYSqmfOTocTMyAQER8YgnyDFT3kwF9dAT2OTpKhAZnwW9vRLx6VrcCIlDSDQZJa0NttI6GPMrkJyhxkeffkX1MR0Xrl/D7cQUKkcxLMU1BI+U39spCAqORlRsEvTmIoLKBmipweR9nwQ0ifr+ZY3DvUOSc/giZyBywkZhzye/p3d/FGcvQHpEf2x6+6/x/aYhsGS+jPKczqjM7Y3a3BFoUI8mi/AMHOoRqM3uTyAzAA25TxEQjKDMD6f3oWjMe5zghqBLRZCg6il6g2ozCL5yRqA+ZzCqs8nA5dB37TBA9yQcGtYoVGeNxvW9j+CHjQ+hRPcsClX/gfzch3Dr5L9jy0ePIjdmNUpyFqNRQ+noRlEexhDgDSHDTyBHkOfI7U+0OgyN2pGU/mACJQY8BpUBdOxJ1GtGoz7vSdRRnqvTKY+5nO5ICjOK4hxB3ykMnXdon6VyjkRV5iCUp/dBFYFOrWoghR+Dej5OcVdQmmIYjwCD4Yl7thjadKHDsXVdX6ya/o/46JXeuHm4L2q0j6Ay8yFxnQuymudWSUiSkCQhSUKSZyub2iNtoQM6cz5KKqrFxvkd9WpXSGqAAzwRvaK6EdbCSgFI3JC4q4SfVBtIWrL6Y8xf+j5BSZmAJKO1ANaCYsQkpWLk8+Pw2pr3Ud7QIIAmMCIZE6bPxUNd+6B73yfwWPc+mDVvMQLDbgvXBFZuGFVl2LhpD/oNGIXe/Z5CrwGDMXzUWOw+eAUGG+VXX4I1G7bg6ecmg+GEGzQ1lSNVVYTX3v8KT4+ZCEtBJRJTszFyzDiMGjMe02fPR7c+A/FIl94YOupZaqSP4cTlaxg65nk81qc//tS9F0a8MBnHLl9HfjX9UAmQcgxl+HbnMQx8+nl06TdEqN/Q0fj0mz2UhzKo9DXYuf8Kej/xNF5/byOGPD0eXfsMwWM9n8C02YsQmZBJP+4S/LBjHzr16INOPbuhz6AnMHbyVAKlVKRk6/Ha2+vRm8L06TsEvfsPxip29JnCIOb4VSCpKr0/Ao8MwKev/gmF6SsIQl5C6IUnMH747/DqooeRETkT1apuMMf+CbdP/SOSL/43jm/+HUIP/F+Cmv4opfCJp/8RkQf/GiF7/go3t/81rLcfhsMwhN7/G5lX/070plQSCKSd/w/Envh7OPR9UEiG7tb+v8a5LX+JuDN/h6QL/4rsG50QcqwXvt3QDEkFeQ/j+rH/xGfvPobMyBXICn0BMSf/F678+Dtc3vI30IU8SrA0EA7V47BEPYKL3/0Op77+H8i6/gcgbyBB2yDYYjrhKl1/4uu/QNrVfycoehL5sd1x+/jfUTn+Gpd/+B+4tfv/wB7bFZrgR3H669/h1t7/i6LEPgRjw1Cd2x1Jl/8Jh6jcV3f+LezxPQn+CJoIcAT4pLMfH3rP6obsgMex99NBeGfBf2LNou7IDBovIUlCkoSkn5CEJM9XrkWxKyZ7CWobuPul417t25PU2AibzYYvvvkWKZm5YphHGGA3lfCTckIS79idoSVIWvUR5i/7AIYCbsDZzT1fx679CWY++hovTPVHrs6M9FwtRo+diBcXL8eVwFBEJ2Xg4o0gzJw3D89PnIgEAgejyY6t3+3FU0OfxcnjF5HMm1hGx2Hj51/j8aEjcfFaMPTmEmzYtAXPjBsHY34RNUjVBElVyFAX4c0PvsIzz4+HvagEqenpGPPcsxg9ejT2HziEuOQsBFBDvXjpCgx4YjDmzl+E3fsOIzY5B5cDwjB30VJM8Z+DTJWeILIMh46exrAnR2HXrj2UtxRExyVj554DGDt2Anbs3AezpQRHj51Hr76D4T97Ma4G3EZ0fC6OnQ2A//zlmPXSEmq0qNx5edj87bfwp3IGhIYjKVOLPGMhftx1GKMJ9C5duYHk1EwcPHoKz70wlSBsOwz2KrqGh/D+vEbhfiCpNqMzipM64ebRf8Xp7X9AudoPhuRZ2PbFcKyY/z/x3eY/4Po5AiHLRNy8NAKjn/ovzJ7xJ7y66p/hP/132PJtF8SGL8XLszpj3JO/w9o3fofl836Hl+f+O24Hz8Gli+Ox/eu/R8P/v73vgI7i6NL1nrfvnd19m86+8+/+v3MA5/A74AA2TuRowGCTc845GQzGmGiDTQaTRI4GgcgZhIgClNPMaDR5RiONNBpl6Xv3Vk+PRqOREBgLgesePlpTVbfq1q3qqq+7q6vTXoc24n18O6weRvd7EilJn2D2zH9Bmyb/jOH9/hNft3oETT74Z8yf1hph20bg5xl1kaVrjcwUIknaF3Bgd118O+VNnDw+C3NmtEYbKmvS0H/FiH5/wYQhjyLpSmdEX+iJScOewqBu/4rxg/+Cnu0fwa5fX0H0xc4YM+gpdO34z+jb9z/Qsd0j2La2Hs4e6Ycvmj2G5o0fwdhx/4A+fR5Bp47/iBFD/x3jR/0Xenz9T5g2/iXE3eyJLZveQt/e/4aRw59Fz27/jYljXkP81e5waz6FO74ekR0iHkQyigmm8HdwLawpTmz/BMd3tUBW0tfITeC1U8oaqLKF7JIkqbqSJEmSJElS7QYvXzE5gas34+HKKUAN3kj6o9cklUKfloa+AwfRZH4T/CHE30OSeBv9eL1CkvoMme4jSTxI8IluduZhw7YDaPBpExw/exGbduxFg89owgi/BGN6FtLsWZTGjQtXr6JegwbYvHUnkZEYdGrfAzO+mQdnei4cDjdMDpcgWPMXr8Cm7fug1ZeRJIOddwLOE0QpXqeQpKYt28CRmYWY+Di0at0aY8eORbbbA6MtC5Z0Ku/iFXzyWWN8M30mMlwc7qbwHCJKp/BZ81bYte8gtGkGjBw7CeMnT4PLlY38gmK480rgyMjC2l834ssONBFHp2DX7jA0aNgE23YdRLqrBGkWD5E1IqJL1uKjxs0RnaKjE9yK1Rs2oGO3bohJ1lLnykW81oolK0PwWdO2OHXmArJy8snmbJwOv4qT4byonu/08VqqGiRJNEHnxr8BZ0JDZCQ2Qo7uK9w41QzjBj2KkOUNsXjOy5g44m/IsXfAmSONMaBXQ5w4PBNm4yxs3dwBPbr9Fds2NsKEga9i8XdvIcs6FDcvtseKhS/hwK6mOBjaCqsXKyRJc/F9TB/6Lnq1/w8sW/I4enR5AmeODoFdvxDH9nZCpxb/hDlTWpQjSS7NE3BqX/SSpLdw8th3WDCrBWaMfh7G+AkIP94bQ3r8G6YNfxSLZ75G5OwlJFybCGPCFBze8SlCfvkrlv7wAiaNqAeTbh5MptnYtL4NRg14jMjbh+jc7in88N17sNnHY//+JhhKBGnb5ibIsM7H2eNdsOrnV3D6WHOsWPY4flz4Ko4dGYFlPzdB66b/mwjd08jXN0F23Dt+/n0JObGfIz12AKwxQ8n3Y5Ae1wGe+OfFInTV75IklUGSJEmSJEmq/eD1s04PMGTEOHFx/9CsSVK3AOg/cDAuXeW1QPyW2d2vSfK/k9RnyDQYnLwnSo5wYCqdtDZHHjbS4NTw87YIOxaOsZNmome/EeKtt1RLLnV6Dww2IgyJCRg8dAhGjxmJ3/buwdtvvI6w0P3IyvLAYs2kAasQBkcJ6QF2giYtCzN/WI1GLduSvgs6ykdPREkhST+iWctWcGZmEkmKQcs2LTBu3Bi4PUSkLAUwOopw41aSuIMza84iOLPJVmspTHRiRlyJwaeNWmH95s2ITkjAZy2aonWHdpg6dSrGjhuPMRMmY9TY8Wjbti0++OADXLp0CZs3b8FHDT/D5StRsNjpBKcBNiUth0jRPnzatBVuxNJgb7FgFZGkL7t2RXRisiBJBls2btxMxvARE/D+++9i8JChWLpyPWISU5GRTzbxBMF5+U2Od4PqkiTfWhqapPPj6yI38XVkJn+E/RteQN+v/o6je77BmkWtMWrQ44iPH4RzZ4dgwoR2iI+bC4vhY+zZ8Ro6tn6USFAbTBj0KVYseBue7LcRE1kP65c2w66tHbA3tANW/Pw/KDHWI5L0EaYOboDOrf+K2bPfQNevn8WNC0NpUp6Isyebo/vX/4rvpnXCvp3j8dN3dZCR2goZWiZJLyBs5zOYMZlJ0mys/rkN1i54FlnarkiM+ADfjPhf6N3lGUwd9z6GD34XhvjxyNO0RKGjM2LjmmDUyH9H314fQ5fyLRy2FkSC3ka71v8Pk8fVQ+f29bB40ZvI8LyN8IjXsXDea9i/+x14nK1wKfx1rFr739i16z2MGfEMmn/+CDq0IDR9BL3b/QO2LqFJWvc1smIaioXoZVBepVfe6FP8W97vKiRJUnUlSZIkSZKk2gn1BSYN9XOnuxQDBw3Fju27xAdua0r++DtJej0RkmG4FhmNNAudzIGv3VcHXpLEWwD4HrcRSeKFzipJSqO41LRMjJvwAzp2GYDYJDMmT5+Lnv1HwppZQqSkgDp+Psx0TEhOwsDBgzBx0ngcOLAP9eu9g0OhocjMcMNgdCDFmEtpC2G0F8LiLIFGn4UZRJI+b95GkKRUIkhMkhLIFkGSWtCE6nKVI0nZObmCJOltBbh+MwlNmnfAvIVLke4qUuy1lQiS9MlnLbEuZBNuxsag/qcfY+DwodiyZQvWrPmVJskN+HX9Rqxfvx7bt2+HVqvFtm3b0fDjz3H5apR4tZ9JksbgoUnqABq1aIvr0bwuyVpGkpJSxIJtg90NZ0YB0tJsOHbsCL77fhY+a9wabTv2wLb9p2hgoI5Ig7yGfR2sDaqJuyFJeXF1kJf0OnRX/47vxz6C+q//M5GB/0HbRv8HzT5+BCuWv4aLF0dgyuSOSE5aCIvpY+z1kaS2mDT4cyyf/zayM99EdOS72LiiJXZtbo8tO77AtIn/Alfs80gJ/xBjer2J7u2ewLJl76Nn17/i7OHucJqm41hYE3Ro838xY+qX2Ld9HJGkusjQtw5Kktb80gbrf1RIUtKl+pg+6h8xtP/LmD+7KQb2fR3JN4YjK6EJDm15DCtX/QU/LngOo4Z/AmPabDjsrbB10ytEel7AyiUd0KntW1j805vI9LyD8xdfxYK5rwqSlJPeEpfD38Dqdf+Ng2GfYPkv9bF88QeIDB+JfZvbYPb4p3F8+8coSO2C3JTGQFo9QPsmilPeQBEvSE96S3mjT5IkSZJUHUmSKoUkSbUXKknit7iZJPUfMBhbtz5Eb7exFBQUIy7ZTKQiB8l0IvMEGswZVcJLkngLgBitP0kisuEohDWrBBZXPkIPnUDDT5ti4eJf4PLkYfPOA2jwSUucuxiDTHKwxVFMyMfho0fwNhGjXbt2IepWFHp07opvJk2FMz0LdrsLBmceYnU2LF+7BYdORohF0/MWrcFnLRojJiURTk8prK4Ckab/8PFo1rIZMrKciI6LRovWzTF27GhkuT00eOUrJOlWIqVpj7kLfoYzm9f9FBOpK8aFiBv46JMm2LBlI9KMRoyaOB6DR46gydSJ3NxCZOcWw0yk7OixcJw4eRk6ImubthxAw4ZNcelSDMyWEhgoL62+ABs2HUPjZh0ReTMFBnM6ft2wGZ26dCWyqEFGNohQ5eHilWQcPn4J2e488bjtZnQiRoydihETv6dBL5cmJYgBN2gbVBPVftwWW1chR7HPoSDuWfr7bUTu+xA/TX4EFy/8Bxy292Axfoyw/c9jwczHce7Ip/hmzIdIuTUZTl0D7Nv0Er5s+T9Ekj7HhEFvYtm8OvCkv4SYiJexZXFDhG6th3OXXsLQIf+Abl/8O3p3ehTvvPoIhg38byQkvorZM/8BTT/4F/Tp+Bi+aPyf+OTd/43Z0xti35a++HFaHWSltkCW5jFkJtdF2OZn8N2413D26ESsXdQY6+Y8iuzkZtBcfB2zxz2CH2a8jMiILhje/2l0af1/Ma7X/8PAzo/gt12vUng3jOr7FDo1/yf06fRv6Pn1I9ix600cO9wRndv9F1Ysegq5rrdx6UxdLPr+CRza9goKTE1x/cQrWLv4P3H91Ac4uv0tjOn5Lxjd7VH0bPWfmDbsdVw6NIB89TYm9HoGIfM+wOxR/4WJg/8RIT/VQW5SO7ijP/L6nSf0Mr+XQZIkVVeSJEmSJEmq3eBzy5ZViuWr1+Ns+CXwh/NrSv5wksQfuE0nEsMkSUyev4MkiTtJ+kwMHTsHfXkLAFs+YrXp2Hv4AsZ9MxcffPiZeGaZZrYh3eVBVLweX3buSxiIwyeuQJvmxhYamDp+/RW+6vw1NBoNjAYDNqz5Fe++VQ9LflkBCw3Ot5JNGDb+W7z7UROEnbgIi7MIR05fxSfNPseQMaNw+VYSrsdqMW76XLz8Vn1x98jpciIqNgotWjUXj/FUkpRK5ORqZBw+b9IG8xb+Uo4khV+6iQ8/boS1IesoPBPb9u7Gex99iGnTvkWKRgdNqkkQqwYNmmDJkvXQG7IVkvRxM1yM4EXnxYIkaVILsG7DETRq+iVu0ABmdWThtwNH0KJNW0GWYhIsSEl1EXnciLffbURpN8Nqz8CpsxHo0nMgJsz4kQYKGhTuB0mKew75RJJyY99C0olPcGLb36BNqQtD6hswpX2EuFtv4kToE4i63B6H90yCLmYq7CnvI/byR9i3rS2unBmLY7vHI+J4J2Tbnkda7Pu4drg/boV/CYOtPq5e/RQbl3XAzvU9cOi34ThyoBWstgZISWiPPesHIGRZV5wMnYBj+8bi9OFJuHlxFCIOf+AjSdnaF5F4qS7OhL6NmOsLcPlkT9w8RqSCSJIjpj4uHX4BZ441gN0wATcipmDT8qbYsexT3DjbDVZjP1hTxyP64jRsXtEKG5c2xQXSN5qHIfL6EOzdOhCXz7VDhvUV8tW7OB3WGlEXmsKt+xS6yA9w5eR7MMR+AZe2GyKPd0DIjy3x268dkXxlOswx3+NyWG9c2t8TCadGIHxfe1w43BixZ5siJ+ELZBNJEvtQSZKkkA5JkiRJqgSSJNV+aExF4hyxOd0oKHnIPnBbXFwCg9kFiz2XTizqcEx4gjihOuATM1qTiSFjZ+DVep+i5Red8Xnz9qj30edo2rYj1mzYBq3RCZOjCKlmD4yOXIRfi0PnXv2IfHyOz1p0xAefNEf/gQMQn5SEdDoZjFYXdDo7FixYJtb6tGjdHp+1+hKft+6IDTtDYXTmweAohd7mwbY9ofjo8+b4qFFbtGzfDd36DMbg4ePQul17OFxZ4tFW+6+6YPqM75Dpzhe7YWuJKF25kYg2Hbph4aLVcGYRETGCSBJwkchT45YdsHrtJiJJ+UhOc2LNxp1o2qwVmjRvi8Ytvkaj5h2x4OeVYn8jndmNTTvC0Jzsu3w9AWJncRqYk3QF2LDlOL74shuu30yEyZ6Dm7Ea9O4/CO9/+Cn6DhotbIhOMGLytLn4sGEjyqM9Pm3+Bbr3H4GIyGRYMti/3vYRuNvBwZvHbR+3KVAXEufF1UVBMv0mguRJfhruhKfgSeS/n4dHUwe5Gt4r6XXkJr0KTzxN7LwrNhEpj/ZV5HAcIS+F8kl6AQVJryM/geLp7/wUmnx1ryNH9xpcmpfgSn4BOZRnruYVuLVvIJviXKmvIZOPujeJFL2GPC3lz/nEkT5/fiSBJsTEV+BJorjk1+jvl5BHNhTG0WQp4l6Ch47CPh0RjtRnKW8qg3XIjjwKz0slGwwvUfiLcCe+gOxEOlIdcpJfojpRHekoflM+ebzhZQKFJT1Ncc+J+Dyy3ZP6MnK0lCaF6kxpc+mYq+X61aXwukSuuG4vKjuAeze4vF+P25KIJPEatyQLk6RgnyXxhx9J0s1Coj0VyTb+wG0BkaRomoD3KCQnSLkMhSTtI5JERIUuSn4PSUomkhRvojGhEpKkQuy4fk9JEl1ciM+S3FDsDaqjoBxJ4l3zKyFJgWDSdM8+cHuXJOlavBE6myRJEncGDUF8covmwdwi3lyo5uQPJUm8BUBqqh4DBo/F5WsJNOhRhXkCDXBAdcEnZlp6qViwrbPmIM2SJZBqzSQiky32YjLa3WLNkFhcbXUTUfLATMxEb3EiJtlCjs6EzWGHPd2JNJMTBlMGLBY3HESojGY7UnQGJBoc0DtIl06WVCIcvL8Tr1GyZrjpmIEEIlUaUybM6TlUJqWzUX5EkszOTCrfSYTQAYvDJfR4EbiViJaRrqgtlJfZlidIEn/125xBBMxOdqdnwURkTU91slBaszUdOr0Fidp0mGy5FEZ6VFYa6fKaKqMlE/YMJkj8GZJCsdbLTMTQZMuicCrL5hbpzWSLnuqUZs2CLaMAlvR8KovKNDqQkJKGRCrD4KB0TiKVYmJkcqSi5kmSJ+FZwjPISXyS8DQRhjpEKJ5DNpGFbD4mvEzkichC/PN0fAEuIhouIhyupDrIovgc0s+Jp3zieMIl4hRP+gl1kZn0IjKI9DiJHGUm1aW8OD39nfgyhb+EdCIW6ckvU/xr9PtFiqd8Ep4Tdim2EWEhUuRffi6FlcU9T+Uq8S4ids6UJ8kmtuVFwkuEl6k8Kj/lWSq/DqV7Hlle+7PJDq4nh/Fvt/gcyovIJdv9/cA2s24mESZOl8W6lDaLynORf1xJzyAz+VlKx3folDzuyZokXg9AhL7sA7dVk6S1BH+SlEznYPAP3JZHfiz51UuSEuw6JFkdd0SSVoXsJyIXK+4uM0ny/8BtYHp/+EjSlaR7QJKq84FbFUQoiaycI6ITSJLEXbOgOgqqJElUl2A6jNuRpJUb/0iSdEC00bU4SZIk7hxMkGh6w/JfNyP8ahTyCwrFmueakD+UJBVTJdIMBgwcMBhXrt6A1saTL58gwR1xeyiPgjR0xSY+zUEkRAVfxVV4O8s74WtosNUQydHZS4QNvKBa2V9JiRdpaJDiPPjTKYLM0SDAjwv48yGcF38zjR+T8aJr3sqAH/1xeoZqg1K+apOix58RYXs1FK4j2yqGq/qq3WQjpWU7UimNKM+XRrGhrDz6m+KZZfOr+4HlKnpc13wBYRvbQeXqbRRvB6Xzkpq7JkWBUElSEpGk74kkDa2SJEncL6gkiQiV+MAtk6RtcFivK/1F7Y8VSFJFksK4c5KkLNxXjgrp4DfyLNrvgpMk8dHViuUygpIkcxbCzoQTSdpJaVj3NneSKpCk5USSWhFJel/Yx59/8f8MTCBJslhjxLgRl0ok6ViEIAXByltL5a0jorKOjhu2HsH5KxXvJFWPJB0mkpREJInPbRojaLyoDkli3XVUbviN1ACSdFncjQumpyIYSUoy5mHHQSJJGxWS5P+Izx+rqL4rQg7garwJGnsBkn3j3f2HJEm1F76F2zRn8VpgXri9adMW5OTkeFnGHy9/OEkyGE0+kqSzU8VpQAjmjOrBu16G8yD4yIL3cycKefI7+cTkT795MBBXx149QRrKkySGmp9KHPxJEkMlKRXSe1HeLlWPyIuwqyyd8mFdLqOS9N505UmR8lZctUkS/Q5GkvzLuzeP1wLhzVOSpFoOP5IU/RqyiSS5jFslSfodJInPp7hU1x2QpKNEkrQPFknaQiQpWkd1LSNJO8PCiSQpd6EkSZK4l1BJEo9H6TmlGDBwiO/ttofiThJXwmq1YfHSVWI/Hp2FKm6kiTqIM+4MTJbKPggbPE1VUPSDx5VB/dp/sDiGjzT5fivwTxM0XCUm/mF+uF29lHKJFPnsU6CWUbl+2Ydsq8r/9+HPTZLUD9aqk2ltBX+WpDimDv39ApGkV5CV0BOZxu3icVswknT2io4m7+CPuxjlSVKUWIR8pyQpl/qIRTMTSTYd6ZWRpOXrd6My0sFgosMT/KlLMYIkaUx5VHY2Dp6+cNckKTWJH7e1rj5JskSLfh+rcyH0+KVK7a14J4lJkrIoNcmQhwMnbr8mafWmg4KMnL2WjGS62FM+WH37x20MzlslSeIOO5dNJItJ0ooNTJKq9tPqzaG4RCSJN/aVJEnij4ZvrjIqJGnUqInYtXM/PJ5cL8v44+UPJ0klhIzsPFgc2b47IcGccWdQSMHdT/YqsQgWVwZJku4GkiQ9cCQpSlmT5DIpa5LKkSSaCPlORXVI0toQmmAJd3snKRhJOkYkadltSBKD7ySpC7dVknS3d5LijJneO0nVJUkr6WLwbu4k+T9uqx5JWrvlsBK/9RBOX0kUd5LuiCT53Um6E5LEUEmSfNwmUVPwzVVEkozppeLj7CajQ7wQVlPyh5IkXoKubAFQCoOFBqC72UhSolJoAhAsTc2DSVIhkaREL0kaUraAOLaOMjn/LhKhPCaqKfBWBbxAu4BQ3g51kn/QoJASFUxeeU2SM34EzKZwGK2pXgLvnRxogOI1eOeuasVjoMomcN+dJDoePRdN57ryGCjZmuMlSbPgif07EYtXAtrf77Ff7KuwaWchxUYTuCWdiEMRTobHYeXGvVRuZSRJWSfDJOnUxTgiDPxYmcYacw4OnbuKlSG8fQDrVkKSyGae/M8S4dDx9wstbiSaspCavBqWmC+QxSSJ7FP7rQr2I/drS3R32FKJJNliobWUIl7vQejJSOUtM/JFYHnsn/VENPktQCZJ4ZE6aG1EkmhS5kXQB0l3zSaytwqixPau5TfjbmiIbHB9i32P21ZtJJJUrlzOh4nTQeEnJjPrdhxDxC2jOE+Z7DDJ2nfsurJwu4LN1Ka8fQDp8926tdsP4VJMGlLYXiJmSaYC7DrEj+rY5qpI0gHxiPAab0dC9U2+JxfL9waSJNV+8MsJDIsjD/lFpQ/H223ieSGxvezMbOw9cBZJOt735PZ3bySqDyZG/giWpuahkCRNWhI0sXOhvzX4gSZJhUSSeCuAh5Uk5Ue/iNxbr8KVPBp262UYLTox6fpPDryJ65UYEzbuPO6bSMX6FAZP5jyxMtnYEIqQHcdxMTJVTNqCJNk8uKlPQ1LMD8iJfqNSkiS2K4h/AxmGedDY9TRWZIiXFy7d1GPjriNEdsrWy6gTMZfNb5HxPkqbdh/H5SjWI9JAF2Qaay7CbyVjw87DWOm9Q+I/gSt282O6UGzadZLqZ/CRJIY5dT1sce3hinqXbCxPkkrYh2It1wuwxfSEXU+Eiu8kUX1THaU4e02DdduOisdiqn/4DpCwnX7zI8lV6/dj257TuJloIx0iKpZC6G0lOHM5CeuJTAR7O47z4DqwzdsPnMMtjQOpduVOXyq10amLyVTeYSKMREh8dVVIpEqUlq3fR7oXcCMpnQgSr0tUSNLxC/HC3opESSFInMeydXuIEF0Q5aokKYXyOHo+HmvINtYv01PaSbVj6bq92Bl2HtG6TEmSJO4CgNEJhF+OhS7NiaKH5U4SbwGgpwGyT/+hiLgaRYMeP267F2uSJGovmCQVI82cCqv2F+hvDEIBTSZFNLHw453iuyRJ6mOsGgfZXUQET92qQLz2T2H5PFH62fegQX3clh/1ItXpTWTpfyBiY6fJOrtCm/Kbksl03p64mEgT8CEiHTRpercDWLuFH8EdwmqaXNds3I8jJ6OQnFpA5zrpMtky55FuJlKTtsF2qwuyohqjMPp1Kv8VQTb4sVVO7EuwR7eBLWkGrKaTVJ6bJn5+FAQk6gtw9CxN4FQuT/5lk7Ay+fMmkkzWTlyIA39OiN+C4XL5rk5CWj4OnYnBqk2sqxA6ldzx3ZiVROr475Ph8aSbJ9YGpZiIOBDp0Bu1SEo4CkPUULhj3hSPCbkf55PvuA8w4XNFvwen9hukWw/DaNUq5RLR4btJ+49fwyqyjfcGUkiGUi6TyTUbicSQ785cSqHyqJ40IQuiY6H6pnoQeixS+HjVRoVgcT05H77DtCokVJClM1d4PVIe+YpJEgRJSkjNwb4jl4mA/SbaYi2lZ6zzkjWxbojI29mrOtGe4sUNqi8vGo/XuvBbWDhWMaGkMoSdbC/7mmzgR3F8R+l8JOmKtlHIA+cRpXFhd9gl5XEcQdhMegJcLm8PsPUowm8axIswDN50NrCf3S9IklR74f+4zZFdimHDxmHnjn0P15oks9mCAUNG4tL1aPHauSRJDzsUkmS06uEyr0Z60hgxuRQQ4SiKfu6BI0mqncXxL6Eo4SUUJ7yMovhXUEgTe6CNDxLYn0VEkgpiXkaxrgGyrD8SSbIFJUkMvtuQSETiZEQSNmw/4ZvEVxNW0aS/nvftiYiHjiZ9PU3avA+YmMAtPJFnId0UCo+mPxGOpkSS3kBJ/BtAAvlRbJz5KgrSuqPAvgjptrOUXiFJfPWoswJJ+jwcP58g1tIsX78PK9bvJ9Bxw29ky1FBcpINHiJmNPEz0aH+x5M43wFjm4+cj6MJ/qiwk4kRT9qcx4btx3A6IlHo8n5mytik6HP/tVoikKGdCE/c28iPex2lZGcJ2cx3FvPi30aRvjFybXPhtB/1kSSxxoeIEm8FcOh0JBGaMCpzH5GPUFH26g0HELL9OBEkIjkGImaC1FG5NAlojGQz+SxWk4Wwk7dIV7WZ9feLI9c34mYalUGTOO83RGVy+/A6Rb7zFqvJQNjxq4IcMVlaTXqriTDxHaINu06Ix2y86Jq3MBH2kp7QpfrHpqTj4PErROC4bUNF2SpCdh3HxRtcx3xqHyaTXvLgrW8Mkax9R68IkiTaiPR5DdIq+r15zylcJIIk6kll8478yV6SVRsgSVLthT9J4oXbffsMwc7tDxFJYnE40jFsxBhciLgGnYMGPktuUGdIPPgov9Cd2zodBvNVuDTjYI/pDUdUEziim8Ee3UrAFtMS1ugW1URzQrP7gOZIj2+D5IjG2Lu2Lk7sfBX6yM9hj20NG9/9EGgNa1SrBwit4eD1NomdkKmbBYf5BEzWRNFmVS2o5TtKTJaiNW6cvZKKw6djCTE4d0WLOC1v6qo8vuFBLdmrw0f+rTETETHbYTZdRmLUYoRtbY2TW+rBFDsKHucyOOxniSC4oKV0ysTPkxO/jMCEC2LPsBiNC2cuJ1OZt3D4zC2cu6rxlkuTPpMjGkjLJjVFl+1lUhCVkiEeZbHukTNRYqdr3viRH3ExMRGbG/rKZdJBR8ov1ZwGg+U6oq/Ow2/rPsDpPQ2RntwPGda94tGkzuKkfs7rglS/lT3+4ryjkp04eTGeSM8NYfOFq1okaHlT2lJBJEV5gqzwXXYul+/sFAjcSnIIAnjo1E3F5mukm0q6dmWhtkqQlLpSPenI+bI/biU4cJp0D5+8KRbSh0emIj7NI/aJUx6zsX5ZPZkQCJso7kaCrazcs9FEcPRiIT7XR0vt6+8n3jqE80q1s6+LEUnlHr+YSAQxmnwdjfDrrJsrHguKN+IovX//qA2QJKn2oowkFcDhLkXPXn0RFnYYeXl5D8cWACz5BQW4dCUS2lQTdHZJkh5mlCNJfEve6oTFFolS+0yU2sYDlq6AuStKLT0FSgjF5h7VQpG5OwpJ949CEaHY0i0IuqMkvR/CjzXB100fwYyRf4E5phlKHX3I/t4+FJt7PTBge0tt/YH0wchPXwyn7bRCkvhKX0wMFdtWgCdVL1FKtQFpNDEq4N9MVJhkFSKRJpZgJCnV4oDTeRORF2djRM9XML7nXxB/uR8K3athJxsESeLxwY8k+QgAEw+aZNMc/FFrPhLsfPeEJjNeA0fkgic1TsvlMkHix1CCgFA8r5Hi9KxvSFfy4DtPZeSK4Df5K6SF0luNcGYn4Oyxiejd9t8xa/QzMMb1gCs9tFKSxPkor/Xz5rRFoiwDfymAQb7S8zogn61Ken+SxG8Xsi/1NtJlm7126+1KnlzfMns5D8VHip+URdysayA9E+kZ6aj3khQ+LwWofH47jY/q3SQG581+8S+b/1Z8zHeuyvtJ7K/G9rNdlD+vyWLSkcZHqqvoGxTObcD9S5IkiTuBP0niD9wuXboKcXEJKCoq8jKMP17+cJLEUlRYAqs1Q7xymkJXSMGcIfGwggd9uoK15NAg6qLBNBMp1gcJThgzsxF69Cg++7Q+RgwfiJioa7DYrUix0QRpywii8yAgi87HbDofc2jC4okzYPKrLgRxYjJCEx9PuvybyUmFtArpMNKF0qlzl9C1W2f07NYeF8LPwpqeCZ2JbKmifM5bzb8c/NMJUuSX1i9OIUwV/749CmDKKMTBI4fRpnUjDB8+AJE3LiPNki3qUx1/lSvb64fK9biORGA4DekwKVX9IupEuJ39gXUt1z6VlBsYJ9YcCfLDv7ns6tdVLS9YfG2EJEm1GdSXCOKLF9S3TA4PPMQn+B7SQ3MnievhyaGBxuyEjq5KJEn6s0EhSRqzmwbPTIHgk3bthIbIvSnTTSTpiJckDUBM9PWHgCS5CFl0Pir7Gd01Sao2SsSkYwogSeHVJEn3C7xjvdHJJOkI2rZpfFckyR/VJUll8YG/awheklTj5d4HSJJUm6GQJCbevBWJOx8oIE5RM/RIkT+YJJUgJycba9eswoply5CeUQC9iQbmoM6QkKhNUCYJDcHkLEbooZP47OPPMGLoCERHxcJk807qPJkE1ZcoD8WfBkcRTp67hi5de6J71y64cOESrA43TUieWvUYRtl0le+IFBFJKsaBwyfQunVrDBs2HJHXbyLNzB++lpPowwBJkmozFJLE3xmNuGXBD/OXw+7M8PKLmpEaIUkrli3BgP794XQVSpIk8YBAkqR7C0mSJGonJEmqzVBIksEJ7Dx4GV16DIHBbPXyi5qRP5wkFRbm48K5c/iq01fiTlKamSaXoM6QkKhNCE6ShhNJioqKkSTpjiFJkkTthCRJtRkKSTJmAovX7MLEKdNhT6cGq0H5w0kSI93uwOiRo2G2uiVJknhAEJwkyTtJdwtJkiRqJyRJqs3wkqQMYNZP67B5205k5+Qo9KKGpEZIEu+87XRmi1dfdeI1Up5cuAMGc4qERM2DJ2cxSROUMD+SlF6K0MNMkhoRSRolSJKZSBJPkmKfGe+JHJinRCAAg72ESFIkOnfthW7duuB8uEKSdEaPksZYGrDf1v2C0qbcxsb0EhwkktSmVSsMHzoMkZGRSLPkBKSXeFAhSVJthDqmKuCXvhIMOchwZQs+UZNSIySJpbgIsBIbNNjIAZIkSdQylCdJvM+P0kclSbqXCEKSLkTUOpKkvGrPf5eRpAOHiCS1bIVhQ4fi+vXrkiQ9RJAkqTZCGVPFdhZ8tBTCklXKn4OtcfmDSVKZuFxZWLBoKazp/Co4v27MG6IpDuHJiVHeSRISNQtlQz4aFJkcWehvC6C1lMDiLMbBoCSJN9jjgRTexzP+d6IkfCCfaBnkW6OtCKfOlj1uKyNJyuMrlXSyH+/X5yv89yPSmgqo/QsRFkiSrNT+1gLvWCYn0wcZkiTVTvD4q776n2Rw0zmZg4LCmmdJNUaSrDYbvviyM27GpkBnJydIkiRRy6CSJP7MQqKhEPH6PBgcpbBl8uOWMpIUEx0Hiz1bfG4hMS1PTKaSJFUCrz/iU/OQbMiH1VmC0+XWJEXA6cqHJi0bCbpcQabuN0liMFGKSslBot4De1YJDh0pe9x28+ZN6hN5SDJ5kEB9QJKkBxuSJNVOMEHiI3/9f+b8VZizeD0yXdleRlFzUmMkKSMjExMnT0XIlu3UCckBZv/Pkyi31Mp+S0jUNJRN/gSIJMXr3Dh47Ar2Hz6P7NxCHDnKJOlzjBg2AnFxcYiKjkXI5p04d/EWdOLDqmWkX8Ifil+PnY1C6OEzMFmdCI+4hG5du6JXt664duUKLDYHxZ3G8XM3oLfxxBQsn5oCTYpEevgbZ3uPXsG2/UeRarPj8PHjaNmypVi4HRebgCStHqHHTuFCZAI0ViZKsv0fVEiSVHvBn+nhT9t06zUIu/eFITc3z8soak5qhCSVloAql4sdu3Zj9tz5NOjkQ8ffO/I5Q5IkifuNMpLEkyR/e+rIqWsYMHQStu/eL0jS5580wqgRo3HixAnMm7cQs2YvgEbvkCSpSpTQIFeCs5diMGLcNKxaG4KIy1fQvVt39O3ZA+fPncO6DRsxa+4iRMamiTt3wfOpKfB6tCLo00sQflOHcdN+wJI1a7Hzt31o27Ythg8fgfALEfhuznxMmTUHV2O10NlpLJPt/8BCkqTaC72tFGcuaQRJ0qaZxRc8alpq7E4Sr0h3ZbthMFmhtxRCZyqgCUl5xCFuV4tb1hWdJCFRM1DuICiv9JeIr6wnpmVh9sLlaNaiFSZMnISmTZuiT+/eGDNqFFq3aof1G3bB4eLbwrwuhRA03z8j1IsehvJh1cS0TMxdvByNW7TGoKGD8HXnTuTL7vhu5reCfMz78RcY7Lni4kkhq/dvchJrkfiL97ZCTPn+JzRp0x6jx01Cu3YdMGDAAIwYMQLtvvwa2/aGwZReKD7+WuWHgSVqNQJJkiWTLuL5Y8BB0krULHhpzvUEB/YdOIosd82++q9KjZEkFl5ylV/EH6mjq0tbEXQ0GDEkSZK4/yhPkjREevT2AmzaeRD13nsfH9RvgPr166MB4b136qF//8G4Ga2F2cFfvvd+IDZovn9GlCdJfJfF4ipB6LHTaNW+A96u9xbqN3gPn3/WEO+//y46d+6MU2cjiHDk0dV77n0nSbweKdlYQOSuADsPnESL9p3wzvsN8HHDT9Gw4cd477330PHrbjh2JgLWTCJTou3l+PWggknST0SSnpIkqVaBP2qbaMyHNbsUvF77PrzYJqRGSRJLttuNdSFbYHPmQG9jknT/BkMJiTL4kyTld6q9GOGRyeg/ZBJe/3sDfPThp0SSGqL++x9g2vSZsGZ4qA/TpM5Ev0J+Ej4Q6Ui1lSApLRsz5yzC2++9i/oNP0L9j+rjrXfewqRJkxCXoEeaJR9aIifiDrN3K4CUGt8KQCV3xdCRzZdv6TBk5GQidg3QoAHZ3ICIcsMGWLx0FVJNWTDSBZ/WS6yD5ydR2yFJUi0EjcV6B52HZhdsOcXKq//eR201TZZqnCTZHQ507t4boYeOwZYlSZJEbYEfSTLzI7RSmiSLEZ/qwo+/bMDb736CDxt8gnfrfYB2X3yBg2FHBEnSmd1B8pIIBN+ZS7MXYtWGbfjo00/w/of18V7999CyVUts3boVZosLqcbcWkWS+A6YxpiNJStD0KhJKyLIH+H9+h+gaYum2L3vAGwZBdCZ8shGvpMkx7EHFZIk1T7wyzPJpkL0pwuUPYdPw5ObL0gSE6SHniR5PB5s3BSCQUOGICOXrzBpkhGTk+yUErUJCmnSmfNwgE7SNl90Qr167+Gdeu9S3x2GBI0BqQ5+zEbwTawqguX3Z4eygDv8SjQGDBqCt996G++/8za6duuOY2fCYXKyL2vT2h6l/a2Zpdh/6DQ6ftWdSHJDvPPOO5g4cTyi41JgtBFJJpIkF/g+2JAkqfbB5CzFmYtx6Nt3kNiXrri4kNjD/XngVuMkiRdwJ2tS0KZdOxw8EQ69LUchSJIkSdQqKJOkwVGM6zcTMGLUBLz55tto3rwVkfzNMKfzZoJ5dMXDE7skSbdHCXS8tUKKFd/O/I5I0lv49KMPsXDhT9AYrDQO8I7bvL6rtqzt8ra/vRDRCWmYNGUG3n+/viBJy5cvhdmWAb05G1oj9QFJkh5oSJJUe8DrkBj8lYPBo2Zg4Y8/IzPTxczBi5qXGidJLMXFdIVmtYtn+joTfyiUJhpxFRngNEmeJO4zxFtuxmwsXbMF7777Pjp36Y6TZy/C5PDfwuL3QX3LMxDB0lYOZVKvgMomb7/PfwSiIulTESSfaperpEs152HL9gNENtugWeMm2LFzL2yuAmjN5E+xYLoSeysgoNzK6nmHUH2vJTt0BIO1AA5XETaE7MAnHzdCp6+64PDR4zBaXRRPRNnoIfAjwiKCd58tQZr8bAsC/7RV4U7zuV3634sK5QVJU5sRaD+Dt534cekmPPns37F5V5gkSTUMJkXqGJPs/RyQiS5OQ7YeRqreIPiCWI90H17/Z7kvJImF9zvIziuFyZ4Hg5McI0mSRG2EuQjGzEIcPXMebdp8gQmTpiJFZ6LJ0/utsXsAf2Lkj2BpK0cAafCdO5WQh99LknjdlliwXt1ylXRGGvzOX7yJ7j36YtjgIYiKSYJRvNWWF5C+IpS3zvhKk/MOKLeyelYBYb93R3BfmBcKSSom5MKSno9Ll6PQrWsvjBg5GreiYwRJSjW5hd38eRp+5MZQJ14mKxqzsnt7OTu98J+kq4J/PsHyKpdWrI0icHgl5TLUvKpKUxn8yxNlBklTFSor198mfwTT8Y/3Dw+WNhBsMy+057WwqdZSpFpKYbADC5eE4Mnn3ixHknz9zK9/SNx7qCSJCZIypgA2J5BX5MeL/owkiSU9IwPfzpgNrcEJMw2Uvs6tDspq5w7iWAmJmgFNlPZCxGmtWLpyDRYvW4UMN0/2hUijwbWmwQO60VYRBkKw9JWC01cGe2kl4Lg7QXl93hjO7CxCUqoF8xYuxoply+Fw5oi9hgx2ZWddhsFB9akExvSKEHH8Nw2spgy68AqAOROwuCqHNasMFhenLxZfBVDiS2Bzl8CenYtV69Zh8/YtcGTYkO7Kgt3lofg8mFz5MLoKCEUwZSkw09+WAJiJbJsoHac3Cb1cmLPyYPHCTL8DwyxUriWbyvGDOSuHUDHM5KJwgoWPmW6YM7JpwqcjwZSZTWS/DIaMLC9chEyBNGdGGdIpLN1F/qV4B8V5YbBn0FV+BvV/J4x2P9jSiTgGgc1BFxQ2gpX+thHsAmpYMKRZLFVCbzYj1WiqAL3JLKCjv3UGowjjowJOY0FqGun6QW+wQKsz4OelG/DsC/WwaecB8psHqTaFbEqSVFOgCzQiSGl0rp67oaOLlEzkFZco3IjvqPx5SVImxo6bjO/m/IxMD6AlZi9JkkTtAvU/SyFN8Hk4duos5v+0FGHHL2L/kQj8dvh6RRy6jr1h17CHsPvgVS+uYNeByxWwM/RSOezYH1EB2/ddFFD/3rY3HNu92LbnArbtVrCVsIV+MzbvOY/Nu89h066zFRCy84wX9HvneYTsOOfDxu1nCaexccdJbNjOOOEH/n0a67eeIpysgHVbTmLtlhN+OI61m4/i181HymHt5lCs37IbCxb+jPlz5mLdhm1YE7KPcABrNh2uNtT8yn7TcXMY/X2QjpQX4dctBwXU3/741e/v1ZtCsSpkP1ZtZOyjv3/Dyo2EDfuwfP1uLF23HUtWr8ekb6bh+zmz8ev61Vi2ejWWrFqLn1etx08rN+DHVRuxcOVGzFu+HnOXrsPcJeswz4u5v6zFnJ/X4IfFqwmrMHvRCsJyfE99adaPS/CdH2Yu/AUzFizGt/MWYfrcnwg/YtrcBfhmznxMnT0Pk7+fUw6TZv2Aid/NxoQZ32P8t7MwgTB++ncYP20mJtBR/Ka/x3zzLUZNne7DyCnTBIZPnoKhEydi2KRJGDphIgaPG69g7AQMHjMBQ8ZSGB0HjR4vMHjUGAweORqDRozCgOEj0X/YCIEBQ4djwBAF/QcPQ79Bw9B34FD0GTiIMBC9BwxA7/4D0Ktff4Geffv50KNPX3QndOvdB1179UKXnj3Rtady7NJDQefuPfB1t+4CX3Xtho5duhK6oFNXPip/M778ujM6fPW1D+07fYV2HTuhbQfGV/iC0I6P7en3Fx0JX4rfjZp9if/6y3PUpiHQWZzgXfQlSaoZqHeS0uhiJzzagBZfDcShExFw5xeW8aI/K0niRdzxCYlo06EDTl2IoCt2Yu/8uRJJjiRqDZS7mxpzPn7duAcvv/Yu3nrzXbz593fw9zfe8uGN198UeP31v+P11wh0fO21NwQCf7/66ut45ZXXBPz/Zrz88qvi+BIdXyS88NIr5fHiy3jxhZfxwgsv4fnnX0Tdui8IPP88/35ZQd2XUbfOS16UpVFRp87zeK7OC3im7os+PE2/FTyPZ56rK/D0s3V8eOqZZwnP4KlnFTz59FOV4GnCM3j8qWfw2FPPVsDjTz2NJ556UqR7iv5+8oln8MTjFPfYs3j0sWfwt0cD8NjTePTx8niM8PgTpEN6f2MdwqP0d3XwmFdP+fs5ykeBGvYo2fPok2X4G8X97fE6ZFsdSleXdOhvSvc3L/5K8X99si6lq0u6dKS0Kvj3o0+8UA6PPf48Hn+8LuXF+fmVGwC2TcQ99pwom/EY6xEeE3+X2a7mI3SepPTlQHn41aciyKdPPlU5qK0efeoJHx578gk8LvA4taMfKOyJJ8rjySefrBB2Oyh5B8djTzxOPnxc2OD7+3Eqm/S4LBVPPfWUD09TP3v22Wd9eO6558qhTp06ePHFFzF01FisWBuCy1HJ0Nnc0Fp4nRkvAZEkqSagtZTClAmMmfgDZs9bCafTVZ4U/VlJEktWVg7WrN+A1etDFIIkSZJEbYLYM4nfzCrA3gOn8eVXvcTalO7de6NHj14+9OzZW6BXzz7o3asv+vTuh759+/vQr98A9O8/EAMGDMLAgYMxeNBQDB48FEOGDPNhKF2ND6Orch9GjMTwkaMERo4ei1FjxmEUHUcTxtDfY8eOx7hxEwTGj5uECeOnCEya+A0mT5qGKZOnY8qU6fhm6nRM++ZbgenTZuDb6TPx7YxZmDbze0z/brYP386ag5nfz8Gs2Qq+/2GuwA9z52Pu/PmYt0DFAsxfuBDzf1yIBT/9KPDjop/w0+JFhMVY9PMvWLRkGRYvXYGfl63EL8tXYcmK1eJx5bKVq7F85QqsXLkKq1f9ijWr1xM2Ys2aEKz+NQRr1m7C2nWb/bAJ69YTNmzG+o1bfNgQsg0bN+3wgT82rGITYfOWXT5s2boHW7ftFdi+Yx927tqPXbtDsXvPQezZGyawd98h/Lb/MH4LpeOBw9h3UMUx7A87hQOMgydxMIxxAgcOnUAo4cCRUzh0/DyOngwXOH7qIk6cjhA4de4Kzpy/TogUOHvhBs5diMSF8EiEXyREXEfE5Ru4fOVWBVy5GoWr16IJMYi8kYCbtxJx46ZyjIpOQXRsCmLiUhAXrxGIT9AhITEV8UmpSExJE0hI1iNJo0eKLg2aVCO0epOALo0fSVmUx08mM9LMZY+y+DGYye6AyftYzGS3weKww+p0CNjSHXA405GeQccMu0B6pgPpHJZeEQ4HpQsCu90eFFYuzwsrl+uFGsYw26wwW60wkb1ms9kHC/22UnggbDbKy/s3pwmWzuzIgDk9C3pbNl0QZRFBUtaaSZJUM+A3DLeHRqBX//FISLGipJjIgSRJivDzxsLiUuQVFIkFkkZbLvSWYuhMRXQilwoEc6qERI3Au0BZR1c6vObFnAFY6BgIK4WrCPY7MEwNt9LVk40QGCfAcXRBVQFqer94azCoa22CxVUGSk/zRDlUyCNIGh84rgr45+Mfbq+Grgp//WB5BQPnH1iGqvt7YaF2sFB7BAP3F75CDoToR/7pAuKNFFYO1FdUHTP9bfJCrMtSj7w+i/42+OsRRNhtwJNUefDEVVIBhkqQ5igmglFUbaRaC38X+KKluqheel58z4/Y5FqkmkHZkhreNFJnzUe6pxROlxtFJSUVSdGfmSSx8O4HxSWlYt+RE2ev0yRQilTqrJIkSdQelIgrS62JBlRTfq2DlsCPBO87xIerC+8C5V+hLwOH30n634vA8m5nV9V2iDVt6p1xP1Q3nYrA9JXhdvlUBJMCJgcBIOLgu7Pvh6Bt/jDA228lSaopKG+z8TokJvJmutjIISLAN5DEbkiSJFWUoqJiREbeRKuWbbH3tzA4nB4iSjwh8Y7GwZwsISEhISEh8aBA4wX/zQRJb8zG0BFTsWbVOmRlZRETYIrkD69IkqRIXm4+Dh44hI6duuH4yXBYnLxfye33T5GQkJCQkJCo3VBJks7Kj9pKMW3mYkycMgc2S7qXBEmSVLWQEzw5HuzevRdz5y2EOSMPOkuWuP0p9lDyc7aEhISEhIRE7Ye4e2TgR8JekmQrwdZ95zFq7BTExSejuLiICIAfKQoUSZK8Qk7gfaMKC0uQle1Beg7viuqG3gFJkiQkJCQkJB5AqOQo1QLorQBv/sovKNid2SgsDnLnKFAkSQou2W43Nm/bgfMXI5HhLttuXnW4rwF8n1Mo3zASEhISEhISNQ3v22ve3/yCA++mn5TqwJGTEXBmecD3jqotkiQFl+wcDzZs2oJOXfrg8PHzsGQpu3LrzESK/BpEkiQJCQkJCYnagvIkiberSEh1Y8S46Zg+ayFs6RniTbZqiyRJwYX3UHK73QgNDUXzZi1xIPQcDKZc7zbmgY1CUF9rDRYnISEhISEhUWPQGgCjFYhJMqF7n2GYOvVbGNJMKC3xMp7qkh9JkqqWvLw8XLp0FTdu6GCxFkDHH+EU65QC7h5JkiQhISEhIXHfoaX5OdUMmGi+PhN+C6vWbYPdkSnWHftEkqTfL+ILwN5jaQngdufhyPFwnD4fKb4obrAV+NYqBWsoCQkJCQkJiRqA90aF1VmKNHMeEjVWZHuKxGdGxKdGxOLsu2A7kiRVLipJEkJ/5nhysWVbKNq0644fFq5GTLINvI2+JEkSEhISEhL3D/wmOu+gfeDIZXzdbTj6DxoHvdEq7h7xTQ5JkmpICgsLcf16pPjI57gJkxGny4DGnAudpUiACVOyiY4VVtiXfyuuUnjZcNA4CQkJCQmJPzPUOdIP/A02vb0Q85eEoE3bL7Fs2QoYjUYUF9/REu1aJw8kSWIpKSmB05mJxCQt7G7e4pw/msgfWSwWTFZr4caUJElCQkJCQuKeguZHftM81a7sd6SxFIE/iswfub4eZ0JCggYFBQXe2frBlgeWJPkLfzU4WaPDmHGTMHT4GBw6ehbatHRBmpIN+b6GrUiSypMoCQkJCQmJPyvUObLso8nl50zxhEYQpGIYnKW4EaPBitUh6NylNzRavXikpjxWo2O5FdoPrjwUJInbhD+Qy3eVFv28HF17DMDPy9YjxZgPrblI3FkyOFFhfyV/kqS+KVfhjTk/BMYFS1vp9gQBUNNpyKbAuHuN6tpUXVTX5t9VN3MQfV8YkWKqU7LRuws7h1NbCFSq4xcWCH/9YHlUBTX/YOXcLqyqeD7eqS2B8M8rWJnkv3J+DIyv7O9gvysL88ft4isB2+ePYGlSOF/Kv8o0BFE+pVN/K+np/AiiI/KpIq/bQdUPLDPw9+3A6bkvBNr9e2wLlmcgFD9WLKOy8MryrKq+weKqSu+P6qZTcafpA8H64pzkOor6V/TBnUDYEyScUVmc/1h+u3FdtTdYXCDUvCojSZyPeKs8nY+l4rhi40G0bNsZA4eMwY6d+5HpcisE6eHgRj55KEiSuhiMmWteXj4MBhPS0kzw5BM5smRh3dbdOHclCqnmTBisOdDbeL1SHpGmEiJR1DnMhQQOUzqDevSHf1ywzqnGVYZgnb6qE0FFsPhgqOqEu5N8VFSVX9WoepL6XaABTrGrGmX40gaJqzYqK6eadazMhqDh3jwJ4lgd++82jSgjgBz9HlRlR3VsvAfgugSrj+pT/pvt8J3PZFdgWoZ/en+IOgToqGkDdYKlvVNUJw9RLqchVJbeP5zTK2OBYqsaJ/Lxht0N/PUrs6O6Zaj6leXjj+qkqU2ozAeiHt6/Kxur/dP4hyVXkZ96vKPxn+ZBfnSmtZEOzYv8SI1vMOitBUizFWBX6AlojU6480uRpLPjVlSsWPbyoK87qkoeKpIUKNxsNmcWFi5djY7d+qJF268xado8GtByiRwVEEMuhDkDcHgIucqqfB5AtVZlHyYGr9ZnBq0Orgz+zc9i+chpA8N9cRTGJzGnqa6Or4NTXCr9VssXOhxXzfwCwyvT4aNaPqNcXt64cjawDsd58/LpeO32j+Mjpw8MD/RpZTbw0b8c/ts/jsM4L58O2aAh/wTqCBsC/ObT8drgHy7iWIfbwS8/Pvrr+NvgK0cMWiVlOpyX1zbVBp+OXxyXw3+zHoer+ZUr3xvOtgXqqPb52+Yf7l8O/9ZTOEOEB+hUFefLr7LwAB0O57z8dfzjGELHzz+cVoD+Fu0Q6B9vOexnnnhYl8NUGzh/zovDVR1fXCXhIr8qdIL17WA6ariqw7ZwWHV8GsxuX37+OpTeXycwTtUpl5efjsivkrhyedHvcueXXziHlcsvIM4XzuVQXDAd1b6gOl7b/HUCfVqZTmCcKMero0LVCZof/VbO/bJwEcc6FMfwL4chyvHq8N++vKoqh3W8dqtjrRqnliN0/OJEfkHCVR2f3RTH/a0yHb4TxN9PYz22gdPyeqJ0mgdNLgq30zhGJIkfqa3fcQZffDUIHToPxoChE6A1mFFIcytDvHTmfbz2sMpDQpKqFuUOUx6io6Nx/MQJ8bkTi82B+QsXo3e/QRg0bDSmfPsDrsUa6QTJg8ZYgIgbBmjS8pBCiNd5oLcRIzcVCMTossUxLjUHiUS4Uiz5BP6di8S0fCSRfgIdmYUnGQvFc9x4PeVlKhZH/q3u7cQ6ahrWUcIp3spxHp8ux6nPg/nvREMBkojkxVIanZ1OQnEFUIwYrUeEcxrOWyxgJx0ug/PhI+cr7pwJKOUkUX0SjRRvyveeIJQ//U40sL0FpMs6fMetgOqq5MF5JRq4HDedeIoNwl4ql+uq2sl14nD+W0G+yI+vWBjJlCf/VvzG5RZTOJ+8ir+EDsVxXTks2Ws7/1br5V8Oh3HZ6pHDRZy37lzHhLRcJBjIP94rJrXNkozUDnpqZzH5cpsXIU7PbcTx1BeoLLaBy0+kfIRfDOQHikuiPpBM9Umk/GK5Pt52SCAf8levU7iuFKa2ubCb4nXURvxtoyQuX08+43A6quWoactsLBT18eWh+pXiUqgPMLg92W7Og3XY58IGzo/sVcKUthDtyjoUF+/Nn+OVuipEJJHrSOnVOM5HK84Jv/qwf/icoTK5L6o+U+1kX3J/5Ktf9jHnx+kThA3UrhTPeQt/U5w4n+go6krlcFrFZsUPXLaG9EQ+Pv/QkWxV8iurZzzlye3NfUfxnZoH939KQ7+5X3Mbqfmz3f42CPvIVsUHbIviB6WcANu85SRSf1brzmk4Lfua13Qo54Fit+pD9lt5u5VyuF9yW3A7iPzZpzQuJRmpf1vZBk5L4xGlVXQVn/IYxH5jn6r+TRZ5cRtxfmVtyulEG5GOWjbHxXI57GuyjXU4L+EHttNbjvCp1241P85LkBc6lxPS6BwzcJ/gc5rOE/YP2c1jjmgX0uXzmXVU34lyyCb2T4wuxxvOdSqhPDxkI/mG7fbaKWygo6gT5cfhPtsoXPU1n/vsN3GnhM5/9pvSNjzWst2cnvXId9wXSSfRwHE8/tM5ZKL6UL3j09heGpd0brJNmRs0ZJvif+XciiW7y9ngK0ex2ddG3rpyP+Q4Lke9SxSfSvWh8mO0bIviQy2dy8Ju4bsCRGuyRb9S71TFUJtxOaotTIQ4nOvBbXErJQNnr2kQpbWRzW5cjknBt/N+xpCRY9GjT3/M/+lnJGnTkFtUgtPnwxEWdgQOu/OhvmNUmfwpSJK/MGGidkd+YQkc6S4iS05cvxWHTdv3wE3tz4hPNaND15Fo3rYv2nQcjG9/WIPMPGLaOQXYHhqOz9v0RpMv+qJDj9HYc/giMgtLcTXOiqHjF6BR235o3mEQRk7+iTpmPgwZOVi2/iBadRqKpu0G4KveE7DzYARcRMNj6JKl/8jZIrxlxyEYPfVnGiyzYfcUY//xW2jUph+VwzoTsSvsItxkd7IpA98tDKG4vmhMZfUZNpNORBecZN+F63p06TdV5Nf6q2GYvXiD0NFYnEKnyRf90az9QPQbMQvHwmPh8JQg7Ews2nYZSXH98CXVZ0XIQdA5QydcBuYu2Ur16U3l9EGvodMRflOLHPJhZKIWvYd+67N75sI1yCriO3F52LDzjCiD4zr3nYSt+86Iul6NM2HstF9EnZpS/MgpP9GJaocx00NXKifRtvNwYd9XfSZhy29nkEOXKFdjNeSf70VeLToMxqRZK6kuuSK/w2dvkJ8HU9xAdOo1Hmu3H6F24Lpm4aeVe/F5a8U/g8bMxeXoNLpCKsXBUzHoNmCqaLvWXw3BotVb4aZyYnRmTJvzK9k9SGDQmPk4dSkB2dQXTl+OEvVg274gP81ftpMIYQENUln4cfUefNa6D5pQnQaPnYvwKC1c5O/wqGQMHj9P6LDt85aECP9YsoqpbheoriNE3Nd9JmLL3pOg5sbVaA1GTfoJTdv2R6svh2DqrFW4kWihK3kP9Z8w4WeuT68hM7Dv+HVxxXeZdaYsEmUwpny/mgbOTNHmoScuon23MaItvuwxFiG7j4r6JBoy8cPirSIvtmHohPm4cCMR6flA2LkY9CN/c3iLLweT3TuofB7oHZi9aCv14WHC3wNHz8HJiBiR377jF8n/E3z+Wb7hEF2JFiPNmY+fVu1FYwrnuIFjWCdWtN3laD3GfLNE9AXux7N+3EQTRQ71n0Ks3nyU7B4tdDjfXWHnRDlnryZg2IQFop4tyD/f/PAr+ccEM5W1ZssxtOs6Suh07jsZm/deIF+XUDk6cU41Jp82atOHzodNon+wf3YfOi/S8vnVutMIbN9/SrSRzpaHub9s9/Vhruvpy7HChtCTV9B90HSRX+uvh2Pxmn1igrmZZBG+577Dfh01ZTGuxNC5Qn3rt6MX0X3gN167B2PpugPk01xhw5J1u8RYwXb3HT4LZ67EiPCIWzqq60LhG8bsRVuo3Zyw03nJ5wr3m2Zkd9tOw2mcCBc6FyKTMWLyQjTrMFDYMXX2GrLLKOJWbNyLNmQv29Cl32TsO3YTdjqRo+j8Gz11sbCZz5dv562nMJvww94jZPegaUKHfXHgZITSf4zZmD5vneiPHNdvxPe4eDNRlPPb0Ut0fn0j6sN95ec1+8nfLpqcczFjfghadRxO9RlAdZ1NfSEZ1EWw92g4+WcK5aX0kwMnryGzAAILlm0VdnM4233mSpyw7WaSFUPGzyW7+wj/TJuzlsZsm3jLaum6g2jffYzod9wf9xy+RuN2EU5cjMOA0T/Q2NNf6M36aSMRKYc4/5eu3019bpSoT4fu46get8g/fIGSh2ETF4q8GrXpTz7lcuzIILv3HI5Al/6TKK4vPmvVi/rcWViy82HNBp1fW3zneGey+1q8Vvhn75HL6Nqf6zpA+Idt1Tuy6aK0EGOnL/H1Be7nV2PN4lw5cjaG+imNWW0HUTn9sHbrKdF/sim/Bcu5HD4n+4nybiTqRDlXY600L8wS5TAm07iZYk4Xcas3Hya/jKFxqyeaf9kfu46chy2XyZmd6nAI8SmpsDldAnlFxeIjtAXkI8GN6PhnlD8dSWJhoqRC/V1YVCQe2gmUlMDt9iA7O0fAk5ePYu4ohPzCYmRmuQX4jlQBdSTWKaRItydPhGe5c5BDHY/JWFFJKfIKCkUYw+3JpbQlIi/W4XScT5lOqcivgJTVcD7mFyr2FZOtufkFcJFdig25ohyO47f8+LdSlofsLhDlcJ5cB38b2G6O4yOHqfXJzS8U4Wo5/jpsN5fDR7cnH9nuPGRle4TdajlcV9Vu1skrUOxm2zidml9OLtut2MB1y87h8Gyhm1eg2sb1UXWoPrmFpKO2Q5EI5/SKTqG3nPJ2c5mq3VxX1T/+dVV12KeubHeADteV8qN6KuUUCR0Gl6m2Q0X/lNU1Nz9fhDOUuqrtWuYfpRw//1B7FZDPiH8jh8rJpDBGFulyHly+fzmclyevzD9cV3cOtTmFu8i23EKqK9tG7ermurqpvbOz4fF4KB/yN9tGR7dfG7FPyDUo9vpH2E3gMtV+r9RH7XM5wieqf7j/sT85XNVR7fbvj5yO24Dj1HNF0atYVw5X24j7FMdxOyptV1YO28bxXI7ibzely6P6lIixnvPlNlNtyCf/sI6SX/n+o+YnfKrqUJ7+/ce/Pv79R/WP2uaswz5l+JcTaDfnUabj7x9vfuQD/q5lgdduLo911PxycvNRxDYElMO6+QHlqHFcB86Hy+FxjtOyTzmO68E6HMftpeqodVV1uM1UHS6XxxFFx3/84boq7VBAOuxTta5qOQw+bzicwWlU/3B5/raJuvr1BVWHwTZxOOv4t7dqG+enjFkczuNPjl87KGO60KHzn8cfHrOVuhZSnJIXI7/Qv67ec4XC2U4um/NT+oIaroxZrMPnrH87cJmqTrk+R1Drw3GKf/g8UexWdRS7y3QU/yi2qecKhyv+4fOL4qg1CovJ9+RHKeXlT0mSKhPuHsG6iBp+O6idtyqw8LE6aWsKbAv9E1DDAn8HIlh8sHxqGqpf2QaWYLbciY3+7VRdvdu1bbXzqQQiLqAM/zz9feALI/BVIYP/5nAWNV5No8b5h/9eBObH9vFvVYKVFahTGTgv1SdqntXRqw6qa4OKqtIHi+PfLGr47foNQ80nUPd2UHV+b7gKjlNFTafqqOAw/zr5h1cXnJ7lbvT8ESyNiqrScDiLGi/6G0GNU8NrEtXpJ3cL9caBlDKRJIlE7SD+f7GU/yWlvKjDw706qe51fncq96B8Vq0J89VyBOi/Un/acwei5uE9BK995TFS7oVU178B6fhwO5VaJar9Kmq78V57xfmlhNQuUf34e+Ve5fPwiiRJJGXdpHyHKf9LSnlRB717NYLc6/zuVO5B+axaE+ar5Qjwf3dpt5qH9xA8l8pjpNwLqa5/A9Lx4XYqtUpU+1XUduO99kqS9KcXSZKkSJEiRYoUKVKCiCRJUqRIkSJFihQpQUSSJClSpEiRIkWKlCAiSZIUKVKkSJEiRUoQkSRJihQpUqRIkSIliEiSJEWKFClSpEiREkQkSZIiRYoUKVKkSAkikiRJkSJFihQpUqQEEUmSpEiRIkWKFClSgogkSVKkSJEiRYoUKUFEkiQpUqSQqJ+NqO2fi5AiRYqUmhNJkqRIkUIiSZIUKVKkBIokSVKkSJEiRYoUKUFEkiQpUqRIkSJFipQgIkmSFClSpEiRIkVKEJEkSYoUKVKkSJEiJYhIkiRFihQpUqRIkRJEJEmSIkWKFClSpEgJIpIkSZHCb73LN9+lSJEiRUqASJIkRYokSVKkSJEiJYhIkiRFihQpUqRIkRJEJEmSIkWKFClSpEgJIpIkSZEiRYoUKVKkVBDg/wPL652WURROawAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "id": "64e96532-3105-4957-90f5-dc4f67e29c71",
   "metadata": {},
   "source": [
    "## 二、课程内容\n",
    "第一节课中，我们将回顾嵌入式检索系统中的一些元素，以及它们如何在一个检索增强的生成循环中与一个大型语言模型（LLM）一起配合使用。\n",
    "### 2.1 系统运作原理\n",
    "Chorma进行检索增强的方式是，用户请求通过用有相同嵌入的模型运行该请求来生成嵌入。\n",
    "嵌入后，检索系统采用最近邻的方法找到最相关的文档。\n",
    "最后把查询请求和相关文档一起交给LLM， LLM从检索到的文档中的综合信息来生成答案。\n",
    "换言之，该过程就像一场开卷考试，RAG通过翻书找答案来应对提问，LLM会根据提问和RAG的参考答案来综合给出回答。\n",
    "\n",
    "![5ce8f7ab80d2edf5dc5111c4b5f498c.png](attachment:afa92c4d-a092-4575-aafc-7ecf3a7c7ae6.png)\r\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ef011ec-79ff-44bc-af8d-61116e0e12b5",
   "metadata": {},
   "source": [
    "## 2.2 系统具体实现"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51cf548c-1fa0-4974-b73d-077f8d3f30a4",
   "metadata": {},
   "source": [
    "首先，从工具库中引入一些辅助函数。helper_utils.py 文件可在当前目录中找到。\n",
    "该函数是一个基础的自动换行函数，它能够以一种美观、整洁的方式查看文档。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dc0873df-123e-4c09-b258-eaf75be7da2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from helper_utils import word_wrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e7f41e63-c787-41f9-8006-2c0caba405f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各位代表：\n",
      "现在，我代表北京市人民政府，向大会报告政府工作，请予审议，并请市政协委员提出\n",
      "意见。\n",
      "一、2023年工作回顾\n",
      "2023年是全面贯彻落\n",
      "党的二十大精神的开局之年，是三年新冠疫情防控转段后经济\n",
      "恢复发展的一年。习近平总书记亲赴门头沟区看望慰问“23·7”极端强降雨受灾群众、对\n",
      "灾后\n",
      "复重建作出重要指示，主持召开深入推进京津冀协同发展座谈会并发表重要讲话，向\n",
      "中国国际服务贸易交易会发表重要视频致辞，向中关村论坛、北京文化论坛致\n",
      "信，为推动\n",
      "新时代首都发展进一步指明了前进方向、提供了根本遵循。全市人民深受鼓舞、倍感振奋，\n",
      "汇聚起奋进新征程、建功新时代的磅礴力量。\n",
      "过去一年\n",
      "在以习近平同志为核心的党中央坚强领导下，在中共北京市委直接领导下，\n",
      "在市人大及其常委会监督支持下，我们坚持以习近平新时代中国特色社会主义思想为指\n",
      "，\n",
      "全面贯彻党的二十大和二十届二中全会精神，深入贯彻习近平总书记对北京重要讲话精神，\n",
      "认真贯彻落实党中央决策部署，加强“四个中心”功能建设，提高\n",
      "四个服务”水平，深化\n",
      "“五子”联动服务和融入新发展格局，统筹发展和安全，着力提信心、强创新、优功能、促\n",
      "协同、抓治理、惠民生，经受住多种考验，经\n",
      "整体回升向好，社会大局保持稳定，各项事\n",
      "业取得新进展新成效，较好完成了市十六届人大一次会议确定的目标任务。全市地区生产总\n",
      "值增长5.2%、约4.\n",
      "万亿元，一般公共预算收入增长8.2%、突破6000亿元，城镇调查失业\n",
      "率4.4%，居民消费价格总体平稳，居民收入增长与经济增长同步，人均地区生产\n",
      "值、全\n",
      "员劳动生产率、万元地区生产总值能耗水耗等多项指标保持全国省级地区最优水平。\n",
      "一年来，主要做了以下工作。\n",
      "一是深入落实首都城市战略定位，京\n",
      "冀协同发展不断走深走实。进一步优化提升首都\n",
      "功能，坚持首都规划权属党中央，完善首规委工作制度，加快首都规划体系建设，深化规自\n",
      "领域问题整改，严格\n",
      "划执行；实施核心区控规新一轮三年行动计划，开展重点地区环境整\n",
      "治提升，全力保障中央政务功能。扎实推进国际交往中心建设，雁栖湖国际会都实现扩容提\n",
      "\n",
      "，第四使馆区等规划建设有序推进，在京登记落户国际组织机构增至115家；健全重大国\n",
      "事活动服务保障常态化工作机制，圆满完成第三届“一带一路”国际合\n",
      "高峰论坛服务保障\n",
      "任务。深入开展疏解整治促提升专项行动，拆除违法建设2315万平方米、腾退土地2282\n",
      "公顷，启动实施第二道绿化隔离地区减量提质\n",
      "划和五年工作方案，城乡建设用地减量约8\n",
      "平方公里；整治桥下空间183处、城市家具1万余处，规范拆除各类护栏900公里，精细化\n",
      "治理提升背街小巷1\n",
      "30条；完成老旧小区改造183个，启动危旧楼房改建和简易楼腾退20.4\n",
      "万平方米。大力推动城市副中心高质量发展，行政办公区二期建成，第二批市级机\n",
      "搬迁，\n",
      "北京艺术中心、城市图书馆、大运河博物馆建成投用，东六环高线公园等规划建设稳步推进，\n",
      "全国温室气体自愿减排交易机构获批设立，通州区与北三县\n",
      "体化发展取得新进展。加快构\n",
      "建京津冀更加紧密的协同发展格局，建立三地联合工作机制，制定实施三年行动计划；京雄\n",
      "高速全线通车，津兴城际铁路开通运行\n",
      "雄安新区中关村科技园挂牌运营，北京向天津、河\n",
      "北输出技术合同成交额748.7亿元、增长1.1倍；支持雄安新区“三校一院”交钥匙项目开\n",
      "学开诊，公\n",
      "服务共建共享不断深化。\n"
     ]
    }
   ],
   "source": [
    "# 导入PDF阅读器\n",
    "from pypdf import PdfReader\n",
    "# 使用《北京2024年政府工作报告》作为示例文件\n",
    "reader = PdfReader (\"./data/北京2024年政府工作报告.pdf\")\n",
    "# 从该文件中提取文本，并跳过空格\n",
    "pdf_texts=[p.extract_text().strip() for p in reader.pages]\n",
    "\n",
    "# 过滤空行，因为检索系统不能接受空行\n",
    "pdf_texts=[text for text in pdf_texts if text]\n",
    "# 打印文档第一页作为输出示例\n",
    "print(word_wrap(pdf_texts[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73fc1b6c-b728-4445-8708-2fd418d18ce2",
   "metadata": {},
   "source": [
    "如果想查看该pdf文件的话，请在data目录里查找。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "621e748b-6a60-462d-962e-b1c6255e7519",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 在LangChain工具集中，使用递归字符文本拆分器和句子转换器令牌文本拆分器。\n",
    "# 字符拆分器可以根据特定的分隔符递归地划分文本，使得它可以在文本中查找指定的字符并在这些字符处将文本分割成更小的片段。\n",
    "# 如果报错：SSLError:(MaxRetryEror(\"SOCKSHTTPSomectionpool(host='huggingface.co', port-443)，注意挂上梯子并添加以下代码：（将1080改为自己的vpn端口号）\n",
    "from sentence_transformers import SentenceTransformer\n",
    "from langchain.text_splitter import RecursiveCharacterTextSplitter, SentenceTransformersTokenTextSplitter\n",
    "import os\n",
    "os.environ['HTTPS_PROXY']='http://127.0.0.1:1080'\n",
    "os.environ[\"HTTP_PROXY\"]='http://127.0.0.1:1080'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4e19909d-de1f-4f7b-a580-10d7e56ff9f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "着力做好以下十一个方面工作：\n",
      "（一）持续提升首都功能，推动京津冀协同发展取得新的更大进展\n",
      "牢牢牵住疏解非首都功能这个“牛鼻子”，推进现代化首都都\n",
      "圈建设，携手津冀共同\n",
      "打造中国式现代化的先行区、示范区。\n",
      "深入落实城市总体规划。严格执行首都规划重大事项向党中央请示报告制度，加快重点\n",
      "街区控规\n",
      "制，持续完善首都国土空间规划体系。巩固深化规自领域问题整改成效，严防“大\n",
      "棚房”等问题反弹。统筹推动核心区控规三年行动计划落地见效，形成一批可视\n",
      "成果，优\n",
      "化提升中央政务环境和城市发展品质。\n",
      "加强国际交往中心功能建设。实现新国展二期项目竣工，强化雁栖湖国际会都、奥林匹\n",
      "克中心区服务保障能力\n",
      "推进第四使馆区建设，提高城市环境国际化水平。积极融入、主动\n",
      "服务共建“一带一路”，拓展国际友城交往。更好发挥中国国际服务贸易交易会、中关村论\n",
      "坛\n",
      "北京文化论坛、金融街论坛等国家级开放平台作用，吸引国际组织和机构在京落地。\n",
      "打好疏解整治促提升“组合拳”。积极服务保障中央单位标志性项目向外疏解\n",
      "完成第\n",
      "二批市级机关搬迁。完善疏解激励约束政策体系，实现城乡建设用地再减量6.5平方公里，\n",
      "确保新生违法建设动态清零。优化教育、医疗资源布局，加\n",
      "首都医科大学、首都儿科研究\n",
      "所通州院区等项目建设。扎实推进铁路沿线环境、城乡结合部整治和桥体绿化、留白增绿等\n",
      "专项任务，精细治理背街小巷1650\n",
      "，推进大红门等区域功能重塑和品质提升。\n",
      "加快推进“新两翼”建设。落实北京与雄安新一轮战略合作协议，推动政务服务同城化，\n",
      "深化“三校一院”办学办医\n",
      "作，共同建好雄安新区中关村科技园。加快城市副中心高质量\n",
      "发展步伐，继续保持千亿级投资强度，启动东六环高线公园建设，实现副中心站综合交通枢\n",
      "纽主体\n",
      "程基本完工、东六环入地改造项目具备通车条件，实施轨道交通101线、22号线\n",
      "等重大项目，实现厂通路建成通车。谋划推进环球主题公园二期，加快建设潮\n",
      "河国家森林\n",
      "公园，推动“两个示范区”建设取得更大突破。\n",
      "深化协同创新和产业协作。积极推进京津冀国家技术创新中心建设，引导支持三地创新\n",
      "主体共建成\n",
      "孵化与中试基地。加快“六链五群”产业布局，“一链一策”开展产业链延伸\n",
      "和协同配套。着力打造京冀曹妃甸协同发展示范区、京张体育文化旅游带，推动燃料\n",
      "池汽\n",
      "车示范城市群建设。唱好京津“双城记”，抓好天津滨海-中关村科技园等合作园区建设。\n",
      "\n",
      "Total chunks: 25\n"
     ]
    }
   ],
   "source": [
    "character_splitter = RecursiveCharacterTextSplitter(\n",
    "    #separators=[\"\\n\\n\", \"\\n\", \". \", \" \", \"\"],英文文档的分割符示例\n",
    "    separators=[\"\\n\\n\", \"\\n\", \"。\", \"，\", \"、\", \"；\", \"\"],\n",
    "    chunk_size=1000,\n",
    "    chunk_overlap=0\n",
    ")\n",
    "character_split_texts = character_splitter.split_text('\\n\\n'.join(pdf_texts))\n",
    "\n",
    "print(word_wrap(character_split_texts[10]))\n",
    "print(f\"\\nTotal chunks: {len(character_split_texts)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "15590844-49ec-4c16-8f19-c49f9122d135",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "进展,一批创新药品、 医疗器械获批上市,小米智能手机工厂、理想汽车旗舰工厂提前投产。精心打造全球数字经\n",
      "济标杆城市,率先建成全球性能领先的区块链基础设施,新增5G基站3万个,获准向公众\n",
      "开放的生成式人工智能大模型产品占全国近一半,“京通”“京办”“京智”三个智慧城市应\n",
      "用终端快速升级拓展,高级别自动驾驶示范区实现160平方公里连片运行,全国首个数据基 础制度先行区启动建设,数字经济增加值占地区生产总值比\n",
      "\n",
      "Total chunks: 102\n"
     ]
    }
   ],
   "source": [
    "# 创建分词器实例，假设可以通过某种方式传入model实例\n",
    "# 这里的代码需要根据实际的API和参数进行调整\n",
    "# 为了适应中文文档的要求，这里指定多语言模型 all-mpnet-base-v2 其初始化格式如下：\n",
    "# __init__(chunk_overlap: int = 50, model_name: str = 'sentence-transformers/all-mpnet-base-v2', tokens_per_chunk: Optional[int] = None, **kwargs: Any) → None\n",
    "token_splitter = SentenceTransformersTokenTextSplitter(chunk_overlap=0,model_name='sentence-transformers/paraphrase-xlm-r-multilingual-v1', tokens_per_chunk=128)\n",
    "\n",
    "token_split_texts = []\n",
    "# for text in preprocessed_texts:\n",
    "for text in character_split_texts:\n",
    "    token_split_texts += token_splitter.split_text(text)\n",
    "\n",
    "print(word_wrap(token_split_texts[10]))\n",
    "print(f\"\\nTotal chunks: {len(token_split_texts)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cba90112-8646-4952-bd17-85439f34c649",
   "metadata": {},
   "source": [
    "上下文窗口大小限制是一个小陷阱。没有处理过嵌入可能会忽略嵌入模型上下文窗口大小限制。上下文窗口大小很关键，一个嵌入模型固定的上下文窗口大小规定了在给定时间内能够考虑的一定数量的词。也就是模型能够“看到”和处理的文本长度。如果文本超过了模型的上下文窗口大小，模型可能无法捕捉到超出窗口范围的文本信息，这可能会影响嵌入的质量和最终的检索或生成结果的准确性。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "130219d8-d48d-42e7-9009-8d04a31eb3cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用BERT来实现句子转换器\n",
    "# 句子转换器是出色的嵌入模型，内置于 Chorma 中，开源且所有权重可在线获取。\n",
    "# 下面的工作是为了创建一个句子转换器嵌入函数，使其能够和 Chorma 一起使用。\n",
    "import chromadb\n",
    "import chromadb.utils.embedding_functions as embedding_functions\n",
    "from chromadb.utils.embedding_functions import SentenceTransformerEmbeddingFunction\n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "_ = load_dotenv(find_dotenv()) \n",
    "openai_api_key = os.environ['OPENAI_API_KEY']\n",
    "\n",
    "# chromadb支持的嵌入函数有许多种，这里介绍常用的几种：\n",
    "# 参考资料：https://docs.trychroma.com/embeddings\n",
    "\n",
    "# 方式1：默认嵌入函数，需要下载模型，本地计算。英文文本表现不错，中文文本表现一般\n",
    "# embedding_function = SentenceTransformerEmbeddingFunction()\n",
    "\n",
    "# 方式2：OpenAI的嵌入函数，直接调用OpenAI的接口，无需下载模型（推荐）\n",
    "embedding_function = embedding_functions.OpenAIEmbeddingFunction(\n",
    "                api_key=openai_api_key,\n",
    "                model_name=\"text-embedding-ada-002\"\n",
    "            )\n",
    "\n",
    "# 方式3：HuggingFace的嵌入函数，需要下载模型，本地计算，对网络要求高\n",
    "# embedding_function = embedding_functions.HuggingFaceEmbeddingFunction(\n",
    "#     api_key=\"hf_\",  # 填入你的 huggingface Access Token\n",
    "#     model_name=\"jinaai/jina-embeddings-v2-base-zh\"  # 指定模型\n",
    "# )\n",
    "## 中文备选模型\n",
    "# jinaai/jina-embeddings-v2-base-zh\n",
    "# GanymedeNil/text2vec-large-chinese\n",
    "# BAAI/bge-large-zh-v1.5\n",
    "# BAAI/bge-small-zh-v1.5\n",
    "\n",
    "# print(embedding_function([token_split_texts[10]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "640096b7-9d60-49b5-a696-a5fc3de4089f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "102"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 接下来是设置Chroma\n",
    "chroma_client = chromadb.Client()\n",
    "# 注意这里的名称（beijing_annual_report_2024）可以自己定义，但要求格式是str\n",
    "chroma_collection = chroma_client.create_collection(\"beijing_annual_report_2024\", embedding_function=embedding_function)\n",
    "\n",
    "ids = [str(i) for i in range(len(token_split_texts))]\n",
    "\n",
    "chroma_collection.add(ids=ids, documents=token_split_texts)\n",
    "chroma_collection.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "728ced5f-e137-4305-818d-57ecb113f502",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "基层执法能力和规范化水平。持之以恒改进 作风,压减一般性支出和非紧急非刚性支出23.9亿元,“三公”经费减少5%;深化全成本\n",
      "预算绩效管理改革,推动市区街成本绩效管理全覆盖,实现经营性国有资产集中统一监管;\n",
      "重点纠治形式主义、官僚主义,扎实推进精文简会和基层减负工作;加大审计监督、财会监\n",
      "督力度,完成首轮统计督察,以严的基调强化正风肃纪反腐,清廉守正、求真\n",
      "\n",
      "\n",
      "、劳有 所得。持续增加城乡居民收入,扩大中等收入群体规模。\n",
      "\n",
      "\n",
      ",加强“四个中心”功能建设,提高“四个服务”水平,深化 “五子”联动服务和融入新发展格局,统筹发展和安全,着力提信心、强创新、优功能、促\n",
      "协同、抓治理、惠民生,经受住多种考验,经济整体回升向好,社会大局保持稳定,各项事\n",
      "业取得新进展新成效,较好完成了市十六届人大一次会议确定的目标任务。全市地区生产总\n",
      "值增长5.2%、约4.4万亿元,一般公共预算收入增长8.2%、突破6000亿元,城镇调查失业\n",
      "\n",
      "\n",
      "率4.4%,居民消费价格总体平稳,居民收入增长与经济增长同步,人均地区生产总值、全\n",
      "员劳动生产率、万元地区生产总值能耗水耗等多项指标保持全国省级地区最优水平。 一年来,主要做了以下工作。\n",
      "一是深入落实首都城市战略定位,京津冀协同发展不断走深走实。进一步优化提升首都\n",
      "功能,坚持首都规划权属党中央,完善首规委工作制度,加快首都规划体系建设,深化规自\n",
      "领域问题整改,严格规划执行;实施核心区控规新一轮三年行动计划,\n",
      "\n",
      "\n",
      "”规划,提出今年全市经济社 会发展的主要预期目标是:地区生产总值增长5%左右,一般公共预算收入增长5%,城镇调\n",
      "查失业率控制在5%以内,居民消费价格涨幅3%左右,居民收入增长与经济增长同步,生态 环境质量、能源、水资源等指标达到国家要求。\n",
      "实现以上目标,既有有利的因素和条件,也面临不少困难和挑战。我们要坚定信心、迎\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 现在所有内容都加载到了Chorma中，让我们连接一个LLM并构建一个完整的检索增强生成（RAG)系统\n",
    "# 接下来演示查询、检索和LLM是如何一起工作的\n",
    "query = \"财政总收入是多少?\"\n",
    "\n",
    "# 查询Chorma来获取结果，请求5个结果\n",
    "results = chroma_collection.query(query_texts=[query], n_results=5)\n",
    "retrieved_documents = results['documents'][0]\n",
    "\n",
    "for document in retrieved_documents:\n",
    "    print(word_wrap(document))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1eaa50ca-9ffb-42e1-8d94-ca73afb263fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 接下来，将这些结果与LLM一起使用，来回答查询\n",
    "# 使GPT进行操作，以便拥有一个OpenAI客户端\n",
    "# 在此之前需要在当前目录中创建\n",
    "import os\n",
    "import openai\n",
    "from openai import OpenAI\n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "# 在当前目录下创建.env文件（注意该文件没有后缀名）\n",
    "# 文件内容为 OPENAI_API_KEY=\"sk-\"（引号部分是自己的openai_api_key,通过登录openai官网，找到API keys就可以查询)\n",
    "_ = load_dotenv(find_dotenv())\n",
    "openai.api_key = os.environ['OPENAI_API_KEY']\n",
    "\n",
    "openai_client = OpenAI()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "25668232-f943-4f4a-809f-b0ec70da8d32",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用GPT3.5 Turbo完成后续操作\n",
    "def rag(query, retrieved_documents, model=\"gpt-3.5-turbo\"):\n",
    "    information = \"\\n\\n\".join(retrieved_documents)\n",
    "    \n",
    "# 英文prompt\n",
    "#   messages = [\n",
    "#        {\n",
    "#           \"role\": \"system\",\n",
    "#           \"content\": \"You are a helpful expert financial research assistant. Your users are asking questions about information contained in an annual report.\"\n",
    "#           \"You will be shown the user's question, and the relevant information from the annual report. Answer the user's question using only this information.\"\n",
    "#       },\n",
    "#        {\"role\": \"user\", \"content\": f\"Question: {query}. \\n Information: {information}\"}\n",
    "#   ]\n",
    "\n",
    "# 中文prompt\n",
    "    messages = [\n",
    "        {\n",
    "            \"role\": \"system\",\n",
    "            \"content\": \"你是一个有用的专家级财务研究助手。你的用户正在询问年度报告中包含的信息相关的问题。\"\n",
    "                       \"你将看到用户的问题和年度报告中的相关信息。请仅使用这些信息回答用户的问题。\"\n",
    "        },\n",
    "        {\"role\": \"user\", \"content\": f\"问题：{query}。\\n信息：{information}\"}\n",
    "    ]\n",
    "    response = openai_client.chat.completions.create(\n",
    "        model=model,\n",
    "        messages=messages,\n",
    "    )\n",
    "    content = response.choices[0].message.content\n",
    "    return content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2a9c7300-c141-4096-892b-8124a3adb720",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "根据年度报告中的信息，一般公共预算收入达到了6000亿元，增长了8.2%。所以，财政总收入为6000亿元。\n"
     ]
    }
   ],
   "source": [
    "# 得到最终的回答\n",
    "output = rag(query=query, retrieved_documents=retrieved_documents)\n",
    "\n",
    "print(word_wrap(output))"
   ]
  }
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